A 1,266-muscle human body model with vision, balance, and touch learns to walk, manipulate objects, and cycle using hierarchical reinforcement learning, and claims to expose muscle dynamics that are difficult to measure directly.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.NC 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Human sensory-musculoskeletal modeling and control of whole-body movements
A 1,266-muscle human body model with vision, balance, and touch learns to walk, manipulate objects, and cycle using hierarchical reinforcement learning, and claims to expose muscle dynamics that are difficult to measure directly.