Learning to Walk - Optimal Gait Synthesis and Online Learning for Terrain-Aware Legged Locomotion

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Abstract: 

The goal of the proposed research is to advance the science of cyber-physical systems by more explicitly tying sensing, perception, and computing to the optimization and control of physical systems whose properties are variable and uncertain. The CPS platform to be studied is that of a bipedal robot locomoting over granular ground material with uncertain physical properties (sand, gravel, dirt, etc.).

  • adaptive control
  • bipedal locomotion
  • Georgia Institute of Technology
  • granular mechanics
  • online learning
  • optimal control
  • CPS Domains
  • Control
  • Platforms
  • Modeling
  • Wireless Sensing and Actuation
  • Robotics
  • Simulation
  • Validation and Verification
  • CPS Technologies
  • Foundations
  • National CPS PI Meeting 2015
  • 2015
  • Abstract
  • Poster
  • Academia
  • 2015 CPS PI MTG Videos, Posters, and Abstracts
Submitted by Aaron Ames on