28 citations · 51 across the 8 of their papers we have counts for
3 papers · 1 filter
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks
Isabell Wochner, Pierre Schumacher, Georg Martius +3
Humans are able to outperform robots in terms of robustness, versatility, and learning of new tasks in a wide variety of movements. We hypothesize that highly nonlinear muscle dyna…
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
Pierre Schumacher, Daniel Häufle, Dieter Büchler +2
Muscle-actuated organisms are capable of learning an unparalleled diversity of dexterous movements despite their vast amount of muscles. Reinforcement learning (RL) on large muscul…
Muscle pre-stimulation tunes viscous-like perturbation rejection in legged hopping
Fabio Izzi, An Mo, Syn Schmitt +2
Muscle fibres possess unique visco-elastic properties, capable of generating a stabilising zero-delay response to unexpected perturbations. This instantaneous response -- termed "p…