Rice University Robotics & Physical AI Research Group
Encompasses multiple research groups including the Kavraki Lab and Human-Centered AI and Robotics (HCAIR) Group, working at the intersection of robotics, computational biomedicine, and physical AI. Research focuses on motion planning, human-AI teaming, collaborative robotics, and algorithm-embodiment co-design.
Notable achievements
Open Motion Planning Library (OMPL)
Notable work
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
Flexible Electronics and Devices as Human-Machine Interfaces for Medical Robotics
Wenzheng Heng, Samuel A. Solomon, Wei Gao
Advanced materials (Deerfield Beach, Fla.) · 2021
An Anti-Y-shaped efficient parking path planning method for restricted areas
Liguo Zang, Liuda Yi, Jiangchao Yuan +2 more
Robotics and Autonomous Systems · 2026
An incremental sampling and segmentation-based approach for motion planning infeasibility
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
Robotics and Autonomous Systems · 2026
Path planning with isocost contours
Erfan Rasouli, Ahmad Kalhor
Robotics and Autonomous Systems · 2026
A hierarchical approach to imitation learning for manipulation tasks requiring time varying forces
Rishabh Shukla, Adithya Santhosh, Shaili Gandhi +2 more
Robotics and Computer-Integrated Manufacturing · 2026
Revolutionizing Industries Through AI-Driven Robotics
Aryan Chaudhary
Recent Advances in Computer Science and Communications · 2026