Difference: MastersConcentration (1 vs. 6)

The main goal of Robotics

• To create intelligent machines that are beneficial to society

Why specialize in Robotics (other than to help society)?

• Details about the program requirements can be found below.

Useful Links

• For information regarding admissions, please follow this link.
• For general inquiries about admissions and the program, please follow this link.

Degree Requirements

Required Courses:

• CSCI-6140: Computer Operating Systems
  
• CSCI-6050: Computability and Complexity
  
• CSCI-6990: Master's Research (six credits)
  
• CSCI-4490/ECSE-4490: Robotics I
  
• CSCI-6491/ECSE-6491: Robotics II
  

Robotics Electives:

Three courses from the following:

Advanced Robotics/Intelligent Systems:

• CSCI-6100: Machine and Computational Learning
  
• CSCI-4150: Intro. to Artificial Intelligence
  
• ECSE-6410: Robotics and Automation Systems
  
• ECSE-4963: Mechatronics
  
• MANE-6420: Multibody Systems
  

Perception and Interaction:

• CSCI-6974: Mathematical Techniques for Computer Vision, Graphics and Robotics
  
• CSCI-6963: Advanced Computer Graphics
  
• CSCI-6270: Computational Vision
  
• ECSE-6995: Distributed Systems and Sensors
  
• ECSE-6610: Pattern Recognition
  

Controls:

• ECSE-6440: Optimal Control Theory
  
• ECSE-6240: Nonlinear Control Systems
  
• ECSE-6460: Multivariable Control Systems
  
• ECSE-6480: Adaptive Systems
  
• ECSE-4440: Control Systems Engineering
  

Mathematical Foundations:

• CSCI-6210: Design and Analysis of Algorithms
  
• CSCI-4260: Graph Theory
  
• CSCI-4800: Numerical Computing
  
• CSCI-4820: Intro. to Numerical Methods for Differential Equations
  
• ECSE-6790: Computational Geometry
  
• ECSE-4500: Probability for Engineering Applications
  
• ECSE-4510: Discrete Time Systems
  
• ECSE-6430: Optimization Methods
  
• DSES-6961: Optimization Algorithms and Applications
  

Note: additional robotics electives may be approved by the Robotics Program Committee.

• Details about the program requirements can be found here

The main intellectual challenge of Robotics

• Understanding how to design and control robots to perform a wide range of useful tasks alone, in groups, or in collaboration with humans, and to do so in ways that are socially acceptable.

Useful background for Robotics research

• The field of Robotics is so broad, that students with many different backgrounds can contribute to the field.
• Assuming knowledge of the subject matter in the courses Robotic I and Robotics II, the subjects most useful in pursuing the goals of the CS Robotics Lab are (in no particular order): algorithms, scientific computing, software engineering, optimization and math programming, Bayesian filtering, multibody dynamics, machine learning, database systems, control theory, and signal processing.

• Details about the program requirements can be found Here

The Robotics Concentration

• The Department of Computer Science at RPI offers an MS degree with specialization in Robotics.

• Unique combination of fundamental knowledge and cutting-edge technology
• Excellent preparation for Phd studies
• Increase your range of job opportunities

The main goal of Robotics

• To create intelligent machines that are beneficial to society

The main intellectual challenges of Robotics

• Perform a wide range of useful physical tasks alone, in groups, or in collaboration with humans
• Behave in ways that are engaging and socially acceptable to humans

The underpinnings of Robotics

• Computation
• Optimization
• Artificial Intelligence
• Dynamics
• Sensing
• Actuation
• Perception
• Cognition
• Social Science

The program

• The Department of Computer Science at RPI offers an MS degree with specialization in robotics.

Why specialize in Robotics?

• Unique combination of fundamental knowledge (computation, physics, and mathematics) and cutting-edge technology (computer systems, networking, perception, and actuation).
  
• Excellent preparation for Ph.D. studies.
  
• Increase your range of job opportunities.
  

The main goal of robotics

• The primary goal of the field of robotics is to create intelligent machines that are beneficial to society.
  

The main intellectual challenges of robotics

physically capable, either alone or in groups, of performing useful tasks, such as assembling a car or picking and washing of fruit. In order to build such robots, robotics research focuses on robot mobility, environmental sensing and perception, the mechanics of manipulation, motion planning and control, and both physical and social aspects of human-robot interaction. The robotics research group studies these problems from theoretical and computational perspectives, and also experimentally in the CS Robotics Lab that is equipped with state-of-the-art equipment.