A framework for sythesizing controllers to achieve blind bipedal walking on challenging terrains thorugh learnt linear policies.
This paper presents a linear policy approach to achieve walking on sloped terrains
A complete description of the hardware design and control architecture of our custom built quadruped robot, called the Stoch
Learning Active Spine Behaviors for Dynamic and Efficient Locomotion
Trajectory based Deep Policy Search for Quadrupedal Walking
Reinforcement Learning using ARS (Augmented random Search)to generate Gaits