Projects

Golem Krang
Development of a Wheeled Humanoid Robot to study whole-body planning and control.
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Navigation Among Movable Obstacles (NAMO)
Autonomous robots that move obstacles out of their way. Now including perception, planning and action.
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Motion Grammars
Language-based approach to perception and control that provably guarantees task execution.
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Whole-Body Dynamic Motion
Optimization with feedback linearization generates emergent whole-body navigation behaviors.
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Learning and Planning Task-Level Motion
Optimization strategies for acquiring and achieving table-top tasks.
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Dynamic Planning for Robot Limbo
Optimized control with multiple stages and emergent behaviors.
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CONAN: Contact Anticipator
Human motion anticipation and response through game-theoretic multi-step planning.
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Whole-Body Manipulation of Environment Objects
Analytical and experimental study of pushing manipulation using internal forces and mechanical advantage.
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Mixed Palletizing
Optimized Planning with industrial applications to product distribution.
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Small Humanoid Walking
Computing stable trajectories with on-board processing for small articulated robots.
 

Paths to Trajectories
Generating optimized trajectories that closely follow kinematic paths.
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Ach: Inter Process Communications
Ach is our efficient channel-based IPC with provable guarantees on performance.
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