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Center for the Foundations of Robotics (CFR)

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.
Precomputed Search Trees: Planning for Interactive Goal-Driven Animation - We present a novel approach for interactively synthesizing motions for characters navigating in complex environments.
 


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