Tuning Legged Locomotion Controllers via Safe Bayesian Optimization

My recent collaborative work titled “Tuning Legged Locomotion Controllers via Safe Bayesian Optimization,” co-authored with Daniel Widmer, Bhavya Sukhija, and Jonas Hübotter, under the guidance of Prof. Andreas Krause and Prof. Stelian Coros, has been accepted to the 7th Annual Conference on Robot Learning (CoRL 2023.) Visit the project website to learn more.



Enjoy Reading This Article?

Here are some more articles you might like to read next:

  • Tuning Legged Locomotion Controllers via Safe Bayesian Optimization
  • RL + Model-based Control: Using On-demand Optimal Control to Learn Versatile Legged Locomotion
  • Animal Motions on Legged Robots Using Nonlinear Model Predictive Control
  • Nonlinear Model Predictive Control for Quadrupedal Locomotion Using Second-Order Sensitivity Analysis
  • Animal Gaits on Quadrupedal Robots Using Motion Matching and Model-Based Control