The Robotics and Control Groups develop technology for the design, analysis, and control of complex systems in a variety of application areas ranging from basic research to robotics and autonomous systems.
Dynamics and Control
Research in the Dynamics and Control area focuses on theoretical, computational, and experimental advancements in the modeling, estimation, control, and decision-making for dynamical systems. The research topics range from foundational knowledge to concrete applications.
Faculty
- Abigail Plummer (Computation, Experiment, Theory)
- Alyssa Pierson (Computation, Experiment, Theory)
- Andrew Sabelhaus (Computation, Design, Experiment, Machine Learning, Theory)
- Anthony Linn (Computation, Design, Experiment)
- Enrique Gutiérrez Wing (Computation, Design, Experiment, Theory)
- Gregory McDaniel (Computation, Experiment, Machine Learning, Theory)
- James Perkins (Computation, Theory)
- John Baillieul (Computation, Experiment, Machine Learning, Theory)
- Roberto Tron (Computation, Experiment, Machine Learning, Theory)
- Sean Andersson (Experiment, Machine Learning, Theory)
- Sheryl Grace (Computation, Machine Learning, Theory)
- Thomas Bifano (Computation, Design, Experiment, Machine Learning, Theory)
- Tommaso Ranzani (Computation, Design, Experiment, Machine Learning)
- William Boley (Design, Experiment, Machine Learning, Theory)
Robotics and Autonomous Systems
Research in the Robotics and Autonomous Systems area takes a multidisciplinary approach to the enhancement of capabilities in robots and other autonomous systems. Our work draws on concepts from control systems, machine learning, materials design, and mechanics to develop novel autonomy methods and advanced platforms.
Faculty
- Alyssa Pierson (Computation, Experiment, Theory)
- Andrew Sabelhaus (Computation, Design, Experiment, Machine Learning, Theory)
- John Baillieul (Computation, Experiment, Machine Learning, Theory)
- Keith Brown (Experiment, Machine Learning)
- Kenneth Sebesta (Design, Experiment)
- Roberto Tron (Computation, Experiment, Machine Learning, Theory)
- Sean Andersson (Experiment, Machine Learning, Theory)
- Thomas Bifano (Computation, Design, Experiment, Machine Learning, Theory)
- Tommaso Ranzani (Computation, Design, Experiment, Machine Learning)
- William Boley (Design, Experiment, Machine Learning, Theory)