My research focuses on developing the intelligence necessary to enable complex platforms to autonomously interact with and perform meaningful work in complex environments. The task areas on which I am currently focusing include biologically inspired dynamic locomotion and learning, compliant manipulation for agriculture and food preparation, managing uncertainty in human-robot interaction, and field-ready search and rescue robotics. The central ideas that underlie the analytical aspects of my work are drawn from classical control theory, Bayesian inference, practical optimal control, and modern reinforcement learning.
Research Topics
- Biologically Inspired and Evolutionary Robotics
- Human-Robot Interaction
- Search and Rescue Robotics
- Force Control
- Micro/Nanorobots
- Motion Control
- Kinematically Redundant Manipulators
- Robotic Systems Architectures and Programming
- Robots with Flexible Elements
- Human-Centered Robotics
- Kinematics
- Robotics Foundations
- Human Robot Collaboration
- AI Reasoning for Robotics
- Field & Service Robotics
- Robotics for Scientific Discovery
- Robotics in Agriculture and Forestry
- Robotics in Construction
- Robotics in Hazardous Application
- Space Robots and Systems
- Underwater Robotics
- Domestic Robotics
- Perceptual Robotics
- Manipulation & Interfaces
- Behavior-based Systems
- Cooperative Manipulators
- Motion for Manipulation Tasks
- Robot Learning for Manipulation
- Robot Structures
- Legged Robots
- Model Identification
- Parallel Mechanism and Robots
- Soft Robotics
- Wheeled Robots
- Active Perception
- AI Reasoning for Articulated Systems
- Dynamics
- Geometric Algorithms
- Motion Planning
- Sensing & Perception
- Force and Tactile Sensors
- Multisensor Data Fusion
- Sensing and Estimation
- Reinforcement Learning
- Full Stack Autonomy
current phd students
current masters students
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