most citedNatural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models

10 citations · 10 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024

HOIMotion: Forecasting Human Motion During Human-Object Interactions Using Egocentric 3D Object Bounding Boxes

Zhiming Hu, Zheming Yin, Daniel Haeufle +2

We present HOIMotion - a novel approach for human motion forecasting during human-object interactions that integrates information about past body poses and egocentric 3D object bou…

cs.RO2023★ 10 cited

Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models

Pierre Schumacher, Thomas Geijtenbeek, Vittorio Caggiano +4

Humans excel at robust bipedal walking in complex natural environments. In each step, they adequately tune the interaction of biomechanical muscle dynamics and neuronal signals to…