Joel W. Burdick
Richard L. and Dorothy M. Hayman Professor of Mechanical Engineering and Bioengineering; Jet Propulsion Laboratory Research Scientist
B.S., Duke University, 1981; M.S., Stanford University, 1982; Ph.D., 1988. Assistant Professor, Caltech, 1988-94; Associate Professor, 1994-2000; Professor of Mechanical Engineering, 2000-02; Professor of Mechanical Engineering and Bioengineering, 2002-12; Executive Officer for Bioengineering, 2006-07; Hayman Professor, 2012-; Jet Propulsion Laboratory Research Scientist, 2014-.
Research interests: robotics, kinematics, mechanical systems and control
Overview
Professor Burdick researches robotic locomotion, sensor-based motion planning algorithms, multi-fingered robotic manipulation, applied nonlinear control theory, neural prosthetics, and medical applications of robotics. Professor Burdick has been focusing more of his expertise in robotics to the development of human prosthetics for paralysis. He has been collaborating with neuroscientists and has demonstrated rehabilitation technology that could repair paralyzing spinal cord injuries successfully.
Related News
Read more newsPublications
- Dixit, Anushri;Fan, David D. et al. (2024) STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Navigation; Results from the DARPA Subterranean ChallengeIEEE Transactions on Field Robotics
- Akella, Prithvi;Dixit, Anushri et al. (2024) Sample-based bounds for coherent risk measures: Applications to policy synthesis and verificationArtificial Intelligence
- Daş, Ersin;Ames, Aaron D. et al. (2024) Rollover Prevention for Mobile Robots With Control Barrier Functions: Differentiator-Based Adaptation and Projection-to-State SafetyIEEE Control Systems Letters
- Vaquero, T. S.;Daddi, G. et al. (2024) EELS: Autonomous snake-like robot with task and motion planning capabilities for ice world explorationScience Robotics
- Thakker, Rohan;Paton, Michael et al. (2023) EELS: Towards Autonomous Mobility in Extreme Terrain with a Versatile Snake Robot with Resilience to Exteroception Failures
- Li, Albert H.;Culbertson, Preston et al. (2023) FRoGGeR: Fast Robust Grasp Generation via the Min-Weight Metric
- Daş, Ersin;Burdick, Joel W. (2023) An Active Learning Based Robot Kinematic Calibration Framework Using Gaussian Processes
- Touma, Thomas;Daş, Ersin et al. (2023) Towards Robust, Resilient Ocean World Science Sampling Systems
- Dixit, Anushri;Fan, David D. et al. (2023) STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation; Results from the DARPA Subterranean Challenge
- Veismann, Marcel;Raffel, Jan et al. (2023) Study of Rotor-Jetpack-Wind Aerodynamic Interaction for Mid-Air Helicopter Delivery on Mars
Related Courses
2022-23
ME/CDS/EE 234 ab – Advanced Robotics: Planning