Research > Robotics & Autonomous Control

Robotics & Autonomous Systems


Robotics and intelligent machines refer to a collection of applications involving the development of machines with human-like behavior. While early robots were primarily used for manufacturing, modern robots include ground vehicles that can drive around cities and explore planets, unmanned aerial vehicles for surveillance and transportation, and medical devices that provide new capabilities to doctors and patients. Emerging applications require increased autonomy, resilience and safety, as well as increased interaction with humans and with society.

Research at Caltech spans many exciting areas, from machine learning to computer vision to control theory to neuroscience. We also have substantial interactions with JPL in the area of robotics, including courses taught by some of the leading experts responsible for supplying technology options for robotic space missions.


Aaron Ames, Yaser Abu-Mostafa, Joel Burdick, K. Mani Chandy, Soon-Jo Chung, Michael Dickinson, Babak Hassibi, Steven Low, Richard Murray, Pietro Perona, Adam Wierman, Yisong Yue

Related research groups & Centers > CAST, CDS, DOLCIT, JPL Robotics, Robotics Team, RSRG

Recent Research Talks

Related Courses

CDS 110. Introduction to Feedback Control Systems.
CDS 112. Control System Design.
CDS 212. Introduction to Modern Control.
CDS 213. Robust Control.
CS 118. Logic Model Checking for Formal Software Verification.
CS 119. Reliable Software: Testing and Monitoring.
EE/Ma/CS 126 ab. Information Theory.
ME 115 ab. Introduction to Kinematics and Robotics.
ME/CS 131. Advanced Robotics: Manipulation and Sensing.
ME/CS 132 ab. Advanced Robotics: Navigation and Vision.
EE/CS/EST 135. Power System Analysis.
CS 142. Distributed Computing.
CS/EE 143. Communication Networks.
CS/EE/CMS 144. Networks: Structure & Economics.
CS/EE 145. Projects in Networking.
CS/EE 146. Advanced Networking.
CS/EE 147. Network Performance Analysis.