Sim-to-Real with Domain Randomization for Tumbling Robot Control
Andrew Schwartzwald,Nikolaos Papanikolopoulos,Andrew Schwartzwald,Nikolaos Papanikolopoulos
Tumbling locomotion allows for small robots to traverse comparatively rough terrain, however, their motion is complex and difficult to control. Existing tumbling robot control methods involve manual control or the assumption of at terrain. Reinforcement learning allows for the exploration and exploitation of diverse environments. By utilizing reinforcement learning with domain randomization, a rob...
