A constrained kernelized movement primitives framework learns probabilistic human gait representations and adapts them via optimization with camera-derived via-points to enable multi-terrain walking on lower limb exoskeletons.
Research on the Motion Control Strategy of a Lower-Limb Exoskeleton Rehabilitation Robot Using the Twin Delayed Deep Deterministic Policy Gradient Algorithm
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Adaptive Gait Generation for Multi-Terrain Exoskeletons via Constrained Kernelized Movement Primitives
A constrained kernelized movement primitives framework learns probabilistic human gait representations and adapts them via optimization with camera-derived via-points to enable multi-terrain walking on lower limb exoskeletons.