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Planning and Autonomy Lab
This lab is no longer active.
Head: James Kuffner
Contact: James Kuffner
Associated center(s) / consortia:
 Center for the Foundations of Robotics (CFR)
Lab Homepage
Behavior Planning for Character Animation
We are exploring a behavior planning approach to automatically generate realistic motions for animated characters.
Footstep Planning for Biped Robots
Navigation strategies for bipeds through complex environments, planning for the full capabilities of the biped.
GPU-accelerated Computer Vision
We are exploiting programmable graphics hardware to improve existing vision algorithms and enable novel approaches to robot perception.
Learning Locomotion
Robust planning and control of the quadruped robot "Little Dog" to traverse rough terrain (DARPA sponsored).
Navigation Among Movable Obstacles
Autonomous motion planning and control for robots working in reconfigurable environments.
Perception for Humanoid Robots
Real-time perception algorithms for autonomous humanoid navigation, manipulation and interaction.
Planning for Manipulation
Developing algorithms for autonomous manipulation.
Precomputed Search Trees: Planning for Interactive Goal-Driven Animation
We present a novel approach for interactively synthesizing motions for characters navigating in complex environments.