Difference: WebHome (r148 vs. r147)

Welcome to The CS Department Robotics Lab

initial model

CSLAM Problem: Physics Empowered Robot Perception

Atlas Robot

DARPA Robotics Challenge

RPI-MATLAB-Simulator: testbed for research and education in simulation
Planar Grasping Testbed

G-SLAM: The Application of Particle Filter to Grasping Problem with Visual Occlusion and Tactile Sensing


Harris Underwater Grasping

Sample Return Robot Challenge

Sample Return Robot Challenge

More research projects >> 
EventsPublications / ThesisRPI Robotics CoursesVisit or Contact the Lab
ColloquiaSoftware / Technical NotesMS with Robotics ConcentrationAlumni
AwardsReadingGroupIEEE CoursewareFacilities and Safety
Robotics RoadmapPast Undergrad ProjectsCo-op OpportunitiesIEEE Robotics
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 external world and agents therein, and moreover, to be able to learn from direct experience and observation.

The research agenda of our lab includes several of the basic scientific issues stated above with application to current focal points: contact tasks (e.g., grasping, manipulation, and assembly) and accurate physical simulation (e.g., multibody dynamics with rigid and flexible objects). Because of the breadth of the field of robotics, the Lab needs students of many backgrounds including computer science, engineering, mathematics, science, and cognitive science. To get involved, click on the "Join us" link at the top, right of this page.
- Lab People -
Jeff Trinkle, Lab Director
Jed Williams
Jed Williams, Ph.D. student
Daniel Montrallo Flickinger
Daniel Montrallo Flickinger, Postdoc
Ying Lu, Ph.D. student
Jun Dong
Jun Dong, Ph.D. student
Shuai Li
Shuai Li, Ph.D. student
Brayden Hollis
Brayden Hollis, Ph.D. Student
Bryant Pong
Bryant Pong, Undergraduate Student
Laurie Wu
Laurie Wu,Undergraduate Student
Landon Bogumil
Landon Bogumil,Undergraduate Student
RoboticsWeb Web Utilities
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