| |
<--Fireworks CS3 Dreamweaver CS3 target. Created Tue Oct 13 22:12:22 GMT-0500 (Central Daylight Time) 2009-->
|
|
<
< | |
>
> | |
| | |
| | |
|
<
< | | |
>
> | | |
| | <-- fwtable fwsrc="robwebsite.png" fwpage="Page 1" fwbase="background.jpg" fwstyle="Dreamweaver" fwdocid = "1586304205" fwnested="0" -->
 |
|
| | |
|
|
<
< | |
>
> | |
| | |
|
<
< | |
|
|
|
| | | |
|
<
< | | >
> | | | | | | |
<
< | | >
> | | | | |
| | | | | |
<
< | | >
> | | | | | |
|
<
< | | | >
> | | | | | |
| |
<
< | Our View of Robotics and Our Research Focus
Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation.
The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | | >
> | Our View of Robotics and Our Research Focus
Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation.
The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below.
| | | | | |
<
< |
| >
> | |
| | | |
|
| | | |
<
< | | >
> | | | | <--Fireworks CS3 Dreamweaver CS3 target. Created Tue Oct 13 22:12:22 GMT-0500 (Central Daylight Time) 2009-->
| |
<
< | | >
> | | | | | |
<
< | | >
> | | | | | |
<
< | |
<-- fwtable fwsrc="Untitled" fwpage="Page 1" fwbase="background.jpg" fwstyle="Dreamweaver" fwdocid = "1586304205" fwnested="0" --> | | >
> | |
<-- fwtable fwsrc="robwebsite.png" fwpage="Page 1" fwbase="background.jpg" fwstyle="Dreamweaver" fwdocid = "1586304205" fwnested="0" --> |
| | | | |
|
<
< | | >
> | | | | | | | |
|
|
<
< | | >
> | | | | | |
<
< |
|
Research |
>
> | |
| | | |
|
<
< | | | >
> | | | | | | | | | |
<
< | | | >
> | | | | | | | | |
|
|
<
< | | | >
> | | | | | | | | | |
<
< | | | >
> | | | | | | | | | |
<
< | | | >
> | | | | | |
| | | |
|
<
< | |
|
|
| | | |
|
<
< | | >
> | | | | | | |
<
< | | >
> | | | | |
| | | |
<
< | | >
> | | | | |
| | | |
<
< | | >
> | | | | |
| | | |
<
< | | >
> | | | | |
| | | |
<
< | | >
> | | | | |
| | | |
<
< | | >
> | | | | | |
<
< | | >
> | | | | |
| |
| |
>
> |
|
|
>
> |
<--Fireworks CS3 Dreamweaver CS3 target. Created Tue Oct 13 22:12:22 GMT-0500 (Central Daylight Time) 2009-->
| | | | |
<
< | | | >
> | | | | | | |
|
<
< | | | >
> | |
<-- fwtable fwsrc="Untitled" fwpage="Page 1" fwbase="background.jpg" fwstyle="Dreamweaver" fwdocid = "1586304205" fwnested="0" --> | | | | |
|
<
< | | | >
> | | | | | |
|
<
< | Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation.
The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | | >
> | | | | | |
<
< | | >
> | | | | | |
<
< | | | >
> | | | | | | |
|
<
< | | >
> | | | | |
|
|
<
< | | >
> | | | | | |
<
< | |
|
|
|
|
| | | |
<
< | | >
> | | | | | |
<
< | | >
> | | | | |
|
|
<
< | | | >
> | | | | | | |
|
<
< | | >
> | | | | |
|
|
<
< | | >
> | | | | | |
<
< | |
|
|
|
|
| | | |
|
<
< | | >
> | | | | | |
<
< | | >
> | | | | | |
<
< | | >
> | | | | |
| | | | |
|
|
<
< | | | >
> | | | | | | |
<
< | | >
> | | | | | | | | |
>
> | |
|
Our View of Robotics and Our Research Focus
Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation.
The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | | | | | | |
>
> |
| | | | |
>
> |
| | | | |
|
|
|
<
< | | >
> | | | | | |
<
< | | | >
> | | | | | |
| |
<
< | | Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation.
The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | | >
> | Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation.
The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | | | | | |
<
< | | >
> | | | | |
|
|
<
< | | >
> | | | | |
| |
<
< | | >
> | | | | |
|
|
<
< | | >
> | | | | |
|
|
|
<
< | | >
> | | | | |
|
|
<
< | | >
> | | | | | | | |
| |
<
< | | >
> | | | | |
|
|
<
< | | >
> | | | | Microfluidic Systems |
|
|
<
< | | >
> |
|
|
| Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation.
The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. |
|
|
Research |
|
|
|
|
| |
|
|
| | | | | |
<
< |
| >
> | | | |
RoboticsWeb Web Utilities
|
|
<
< | Welcome to the Robotics Lab of the CS Department | >
> | | | |
| |
<
< | Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation.
The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | | |
|
| | Welcome to the Robotics Lab of the CS Department | |
<
< |
| >
> |
| | |
|
| | Welcome to the Robotics Lab of the CS Department | |
<
< |
| >
> |
| | |
|
| | Welcome to the Robotics Lab of the CS Department | |
<
< |
| >
> |
| | |
| Lab Director |
Phd student |
Phd student |
MS student |
MS student |
Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation. |
| | Welcome to the Robotics Lab of the CS Department | |
<
< |
| >
> |
| | |
Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation. |
| | Welcome to the Robotics Lab of the CS Department | | |
The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | |
<
< | | >
> | | | |
RoboticsWeb Web Utilities
|
| | Welcome to the Robotics Lab of the CS Department | |
<
< |
| | | | |
<
< | Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation. | >
> |
| | | | |
<
< | The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | >
> | Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation. | | | | |
<
< | | >
> | The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below.
| | |
RoboticsWeb Web Utilities
| | |
| |
<
< |
| META FILEATTACHMENT |
attachment="IMG_1031.JPG" attr="" comment="me again" date="1249417219" name="IMG_1031.JPG" path="IMG_1031.JPG" size="449066" stream="IMG_1031.JPG" tmpFilename="/var/tmp/CGItemp56116" user="trink_40LAB_2eCS_2eRPI_2eEDU" version="1" |
|
| | Welcome to the Robotics Lab of the CS Department
| | |
| |
>
> |
| META FILEATTACHMENT |
attachment="IMG_1031.JPG" attr="" comment="me again" date="1249417219" name="IMG_1031.JPG" path="IMG_1031.JPG" size="449066" stream="IMG_1031.JPG" tmpFilename="/var/tmp/CGItemp56116" user="trink_40LAB_2eCS_2eRPI_2eEDU" version="1" |
|
| | Welcome to the Robotics Lab of the CS Department
| |
<
< |
| >
> |
| | |
| Lab Director |
Phd student |
Phd student |
MS student |
MS student |
Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation.
The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | |
<
< |
| >
> | | | |
RoboticsWeb Web Utilities
|
|
<
< | Welcome to the Robotics Lab | >
> | Welcome to the Robotics Lab of the CS Department | | | | |
<
< |
| >
> |
| | |
Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation.
The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | |
<
< |
News
Lab Members
Info for Students
Research
Courses and Degree Concentration in Robotics
Links | >
> |
| | | | |
<
< | Contact | | |
RoboticsWeb Web Utilities
|
| | Welcome to the Robotics Lab | |
<
< | Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation. | | | | |
<
< | The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | >
> |
Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation.
The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | | |
|
| | Welcome to the Robotics Lab
Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation. |
| | Welcome to the Robotics Lab | |
<
< | Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation. | >
> | Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation. | | | | |
<
< | The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | >
> | The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | | |
|
| | Welcome to the Robotics Lab | |
<
< | Robotics is both a scientific and engineering field of study. Robotics science explores fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Robotics engineering develops methods for instantiating reliable autonomous or human-collaborative machines. Perception is about generating internal (to the robot) estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). Actuation focuses on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation. | >
> | Roboticists explore fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Research in the area of perception focuses on generating internal estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). The area of actuation is centered on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation. | | | | |
<
< | The research agenda of the Robotics Lab includes several of the basic scientific issues stated above with application to our current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | >
> | The research agenda of the our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | | |
|
| | Welcome to the Robotics Lab | |
<
< | Robotics is both a scientific and engineering field of study. Robotics science explores fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. On the other hand, robotics engineering develops methods for instantiating reliable autonomous or human-collaborative machines. Perception is about generating internal (to the robot) estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). Actuation focuses on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation. | >
> | Robotics is both a scientific and engineering field of study. Robotics science explores fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. Robotics engineering develops methods for instantiating reliable autonomous or human-collaborative machines. Perception is about generating internal (to the robot) estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). Actuation focuses on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation. | | |
The research agenda of the Robotics Lab includes several of the basic scientific issues stated above with application to our current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. |
| | Welcome to the Robotics Lab | |
<
< | The main research focus of the Lab is currently dexterous manipulation and assembly. There is also work ongoing in the area of human-robot interaction. Because of the diversity of robotics problems, the Robotics Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. | >
> | Robotics is both a scientific and engineering field of study. Robotics science explores fundamental issues of perception, actuation, control, and intelligence, and the couplings among them. On the other hand, robotics engineering develops methods for instantiating reliable autonomous or human-collaborative machines. Perception is about generating internal (to the robot) estimates of the relevant aspects of the world (for example, how fast am I (the robot) moving, and how close am I to a human?). Actuation focuses on mechanisms for the optimal conversion of stored energy into motion, where "optimal" could refer to safety or energy efficiency. Control is about design of efficient couplings between perception and actuation optimized on certain task based criteria (for example, the robot should not push too hard while palpating a patient's abdomen). Intelligence is the ability to design efficient strategies for interaction with the the external world and agents therein, and moreover, to be able to learn from direct experience and observation.
The research agenda of the Robotics Lab includes several of the basic scientific issues stated above with application to our current focal points: contact tasks (e.g., grasping and assembly) and human-robot interaction (e.g., nonverbal communication). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science. To get involved, click on "Join the Lab" below. | | |
|
| | Welcome to the Robotics Lab | |
>
> | The main research focus of the Lab is currently dexterous manipulation and assembly. There is also work ongoing in the area of human-robot interaction. Because of the diversity of robotics problems, the Robotics Lab needs students of many backgrounds including computer science, engineering, mathematics, science, social science, and cognitive science.
| | | News |
| | Welcome to the Robotics Lab
News | |
<
< | | | | | | |
Contact | |
<
< | | | | RoboticsWeb Web Utilities
| |
<
< | | >
> | | | |
- WebTopicList - all topics in alphabetical order
- WebChanges - recent topic changes in this web
- WebNotify - subscribe to an e-mail alert sent when topics change
|
|
<
< | Welcome to the RoboticsWeb | >
> | Welcome to the Robotics Lab | | |
News |
| | Welcome to the RoboticsWeb
News | | | | |
<
< | | | |
Research |
| | Welcome to the RoboticsWeb
News | | | | |
>
> | | | |
Research |
| | Welcome to the RoboticsWeb
News | | | | |
<
< | People | >
> | Lab Members | | | | |
>
> |
Info for Students | | | | |
>
> | | | |
Research | | | | |
<
< | Education | >
> | Courses and Degree Concentration in Robotics | | | | |
<
< | | >
> | | | |
Links |
| | Welcome to the RoboticsWeb
News | | |
Links | |
>
> | | | |
Contact |
| | Welcome to the RoboticsWeb
News | | | People | |
>
> | | | |
Research | | |
Education | |
<
< | | >
> | | | | | |
>
> | | | | | |
<
< | Archives | >
> | Links | | |
Contact |
| | Welcome to the RoboticsWeb | |
<
< |
| >
> | News
People | | |
Research | | |
Education | |
<
< | | >
> | | | | | |
<
< | | | |
Archives |
| | Welcome to the RoboticsWeb | |
<
< | News
People | >
> |
| | |
Research | | |
Education | |
<
< | | >
> | | | | | |
>
> | | | |
Archives |
| | Welcome to the RoboticsWeb
News | | | Research | |
<
< | | >
> | | | | |
| | Welcome to the RoboticsWeb
News | |
<
< |
- Events
- Outreach
- Colloquium Speakers
- Awards
| >
> | | | |
People | |
<
< | | >
> | | | |
Research | |
<
< |
- Publications
- Software
- Master Projects
- Undergraduate Projects
- Facilities
| >
> | | | |
Education | |
<
< |
- Co-opOpportunities
- Courses
- Masters with concentration in robotics
| >
> | | | |
Archives |
|
<
< | Welcome to the RoboticsWeb web | >
> | Welcome to the RoboticsWeb | | | | |
<
< | Available Information
- What should I write here?
- ^.^
- ...
| >
> | News
- Events
- Outreach
- Colloquium Speakers
- Awards
| | | | |
<
< | RoboticsWeb Web Utilities | >
> | People
Research
- Publications
- Software
- Master Projects
- Undergraduate Projects
- Facilities
Education
- Co-opOpportunities
- Courses
- Masters with concentration in robotics
Archives
Contact
RoboticsWeb Web Utilities | | | |
| | Welcome to the RoboticsWeb web
Available Information | |
<
< | | >
> |
- What should I write here?
- ^.^
| | |
RoboticsWeb Web Utilities |
| | Welcome to the RoboticsWeb web
Available Information |
|
<
< | Welcome to the home of TWiki.RoboticsWeb. This is a web-based collaboration area for ... | >
> | Welcome to the RoboticsWeb web | | | | |
<
< | | >
> | Available Information | | | | |
<
< | | >
> | RoboticsWeb Web Utilities
| | | | |
<
< |
Notes:
- You are currently in the RoboticsWeb web. The color code for this web is this background, so you know where you are.
- If you are not familiar with the TWiki collaboration platform, please visit WelcomeGuest first.
| TWiki Web |
Description of Web |
Used to... |
Links |
| |
Welcome to TWiki... Users, Groups |
...see who is registered on this TWiki |
|
| |
Welcome, Registration, and other StartingPoints; TWiki history & Wiki style; All the docs... |
...discover TWiki details, and how to start your own site. |
|
| |
Bioinfomatics Web |
...collaborate on |
|
| |
TWiki Form based Issue tracking system |
...collaborate on |
|
| |
|
Computer Science Courses |
|
| |
CSC1200 Course Work |
...collaborate on csci1200 |
|
| |
Operating Systems |
...collaborate on opsystems |
|
| |
Database Course |
Collaboration on csc4380 |
|
| |
Programming Languages |
...collaborate on |
|
| |
HASS Resources |
...collaborate on |
|
| |
Labstaff discussion wiki |
...collaborate on |
|
| |
Wiki Web for the Landgraf Center for Vision, Graphics and Robotics. |
...collaborate on |
|
| |
Cisco Networking Academy |
...collaborate on |
|
| |
|
...collaborate on |
|
| |
|
...collaborate on |
|
| |
|
...collaborate on |
|
| |
Sandbox test area with all features enabled. |
...experiment in an unrestricted hands-on web. |
|
| You can use color coding by web for identification and reference. This table is updated automatically based on WebPreferences settings of the individual webs. Contact www@cs.nospam.rpi.edu if you need a separate collaboration web for your team. See also AdminToolsCategory. |
| Legend: |
 Go to the home of the web |
 See recent changes in the web |
 Search the web |
 Subscribe to get notified of changes by e-mail |
|
| | Welcome to the home of TWiki.RoboticsWeb. This is a web-based collaboration area for ...
| |
<
< | Maintenance of the RoboticsWeb web
| >
> |
| | |
Notes: | |
<
< |
- You are currently in the RoboticsWeb web. The color code for this web is a (SPECIFY COLOR) background, so you know where you are.
- If you are not familiar with the TWiki collaboration tool, please visit WelcomeGuest in the TWiki.TWiki web first.
| >
> |
- You are currently in the RoboticsWeb web. The color code for this web is this background, so you know where you are.
- If you are not familiar with the TWiki collaboration platform, please visit WelcomeGuest first.
| | |
| TWiki Web |
Description of Web |
Used to... |
Links |
| |
Welcome to TWiki... Users, Groups |
...see who is registered on this TWiki |
|
| |
Welcome, Registration, and other StartingPoints; TWiki history & Wiki style; All the docs... |
...discover TWiki details, and how to start your own site. |
|
| |
Bioinfomatics Web |
...collaborate on |
|
| |
TWiki Form based Issue tracking system |
...collaborate on |
|
| |
|
Computer Science Courses |
|
| |
CSC1200 Course Work |
...collaborate on csci1200 |
|
| |
Operating Systems |
...collaborate on opsystems |
|
| |
Database Course |
Collaboration on csc4380 |
|
| |
Programming Languages |
...collaborate on |
|
| |
HASS Resources |
...collaborate on |
|
| |
Labstaff discussion wiki |
...collaborate on |
|
| |
Wiki Web for the Landgraf Center for Vision, Graphics and Robotics. |
...collaborate on |
|
| |
Cisco Networking Academy |
...collaborate on |
|
| |
|
...collaborate on |
|
| |
|
...collaborate on |
|
| |
|
...collaborate on |
|
| |
Sandbox test area with all features enabled. |
...experiment in an unrestricted hands-on web. |
|
| You can use color coding by web for identification and reference. This table is updated automatically based on WebPreferences settings of the individual webs. Contact www@cs.nospam.rpi.edu if you need a separate collaboration web for your team. See also AdminToolsCategory. |
| Legend: |
Go to the home of the web |
See recent changes in the web |
| Search the web |
Subscribe to get notified of changes by e-mail |
|
| | Welcome to the home of TWiki.RoboticsWeb. This is a web-based collaboration area for ...
| | |
- You are currently in the RoboticsWeb web. The color code for this web is a (SPECIFY COLOR) background, so you know where you are.
- If you are not familiar with the TWiki collaboration tool, please visit WelcomeGuest in the TWiki.TWiki web first.
| |
<
< |
| TWiki Web |
Description of Web |
Used to... |
Links |
| |
Welcome to TWiki... Users, Groups |
...see who is registered on this TWiki |
|
| |
Welcome, Registration, and other StartingPoints; TWiki history & Wiki style; All the docs... |
...discover TWiki details, and how to start your own site. |
|
| |
Bioinfomatics Web |
...collaborate on |
|
| |
TWiki Form based Issue tracking system |
...collaborate on |
|
| |
|
Computer Science Courses |
|
| |
CSC1200 Course Work |
...collaborate on csci1200 |
|
| |
Operating Systems |
...collaborate on opsystems |
|
| |
Database Course |
Collaboration on csc4380 |
|
| |
Programming Languages |
...collaborate on |
|
| |
HASS Resources |
...collaborate on |
|
| |
Labstaff discussion wiki |
...collaborate on |
|
| |
Wiki Web for the Landgraf Center for Vision, Graphics and Robotics. |
...collaborate on |
|
| |
Cisco Networking Academy |
...collaborate on |
|
| |
|
...collaborate on |
|
| |
|
...collaborate on |
|
| |
|
...collaborate on |
|
| |
Sandbox test area with all features enabled. |
...experiment in an unrestricted hands-on web. |
|
| You can use color coding by web for identification and reference. This table is updated automatically based on WebPreferences settings of the individual webs. Contact www@cs.nospam.rpi.edu if you need a separate collaboration web for your team. See also AdminToolsCategory. |
| Legend: |
Go to the home of the web |
See recent changes in the web |
| Search the web |
Subscribe to get notified of changes by e-mail |
(included from SiteMap; change WebHome to include from SiteMap instead of TWikiWebsTable) | >
> |
| TWiki Web |
Description of Web |
Used to... |
Links |
| |
Welcome to TWiki... Users, Groups |
...see who is registered on this TWiki |
|
| |
Welcome, Registration, and other StartingPoints; TWiki history & Wiki style; All the docs... |
...discover TWiki details, and how to start your own site. |
|
| |
Bioinfomatics Web |
...collaborate on |
|
| |
TWiki Form based Issue tracking system |
...collaborate on |
|
| |
|
Computer Science Courses |
|
| |
CSC1200 Course Work |
...collaborate on csci1200 |
|
| |
Operating Systems |
...collaborate on opsystems |
|
| |
Database Course |
Collaboration on csc4380 |
|
| |
Programming Languages |
...collaborate on |
|
| |
HASS Resources |
...collaborate on |
|
| |
Labstaff discussion wiki |
...collaborate on |
|
| |
Wiki Web for the Landgraf Center for Vision, Graphics and Robotics. |
...collaborate on |
|
| |
Cisco Networking Academy |
...collaborate on |
|
| |
|
...collaborate on |
|
| |
|
...collaborate on |
|
| |
|
...collaborate on |
|
| |
Sandbox test area with all features enabled. |
...experiment in an unrestricted hands-on web. |
|
| You can use color coding by web for identification and reference. This table is updated automatically based on WebPreferences settings of the individual webs. Contact www@cs.nospam.rpi.edu if you need a separate collaboration web for your team. See also AdminToolsCategory. |
| Legend: |
Go to the home of the web |
See recent changes in the web |
| Search the web |
Subscribe to get notified of changes by e-mail |
|
| | Welcome to the home of TWiki.RoboticsWeb. This is a web-based collaboration area for ...
| | | | |
<
< | | >
> | | | | |
|
>
> | Welcome to the home of TWiki.RoboticsWeb. This is a web-based collaboration area for ...
Maintenance of the RoboticsWeb web
Notes:
- You are currently in the RoboticsWeb web. The color code for this web is a (SPECIFY COLOR) background, so you know where you are.
- If you are not familiar with the TWiki collaboration tool, please visit WelcomeGuest in the TWiki.TWiki web first.
| TWiki Web |
Description of Web |
Used to... |
Links |
| |
Welcome to TWiki... Users, Groups |
...see who is registered on this TWiki |
|
| |
Welcome, Registration, and other StartingPoints; TWiki history & Wiki style; All the docs... |
...discover TWiki details, and how to start your own site. |
|
| |
Bioinfomatics Web |
...collaborate on |
|
| |
TWiki Form based Issue tracking system |
...collaborate on |
|
| |
|
Computer Science Courses |
|
| |
CSC1200 Course Work |
...collaborate on csci1200 |
|
| |
Operating Systems |
...collaborate on opsystems |
|
| |
Database Course |
Collaboration on csc4380 |
|
| |
Programming Languages |
...collaborate on |
|
| |
HASS Resources |
...collaborate on |
|
| |
Labstaff discussion wiki |
...collaborate on |
|
| |
Wiki Web for the Landgraf Center for Vision, Graphics and Robotics. |
...collaborate on |
|
| |
Cisco Networking Academy |
...collaborate on |
|
| |
|
...collaborate on |
|
| |
|
...collaborate on |
|
| |
|
...collaborate on |
|
| |
Sandbox test area with all features enabled. |
...experiment in an unrestricted hands-on web. |
|
| You can use color coding by web for identification and reference. This table is updated automatically based on WebPreferences settings of the individual webs. Contact www@cs.nospam.rpi.edu if you need a separate collaboration web for your team. See also AdminToolsCategory. |
| Legend: |
Go to the home of the web |
See recent changes in the web |
| Search the web |
Subscribe to get notified of changes by e-mail |
(included from SiteMap; change WebHome to include from SiteMap instead of TWikiWebsTable) |
Copyright © 1824-2009  Rensselaer Polytechnic Institute (RPI)
110 Eighth Street, Troy, NY USA 12180 (518) 276-8326 |
|
| 
