4 papers
Learning Terrain-Adaptive Humanoid Locomotion on Granular Terrain
Junnosuke Kamohara, Feiyang Wu, Andy Ningan Zong +4
Humanoid locomotion on granular terrain remains a significant challenge due to its complex foot-terrain interaction dynamics that are difficult to model. Existing approaches either…
Robust bipedal locomotion on flowable slopes via foot-driven terrain manipulation
Deniz Kerimoglu, Junnosuke Kamohara, Jiyeon Maeng +4
Bipedal robots are challenging to control because they operate close to instability, where small variations in foot-terrain contact can rapidly destabilize locomotion. On rigid ter…
RL-augmented Adaptive Model Predictive Control for Bipedal Locomotion over Challenging Terrain
Junnosuke Kamohara, Feiyang Wu, Chinmayee Wamorkar +2
Model predictive control (MPC) has demonstrated effectiveness for humanoid bipedal locomotion; however, its applicability in challenging environments, such as rough and slippery te…
Modeling of Terrain Deformation by a Grouser Wheel for Lunar Rover Simulation
Junnosuke Kamohara, Vinicius Ares, James Hurrell +6
Simulation of vehicle motion in planetary environments is challenging. This is due to the modeling of complex terrain, optical conditions, and terrain-aware vehicle dynamics. One o…