A robot can learn a complete mobile manipulation task and its action-level motions from a few human demonstrations, then plan feasible action sequences in new settings by maximizing a learned intention likelihood.
Statistical dynamical systems for skills acquisition in humanoids,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications
A robot can learn a complete mobile manipulation task and its action-level motions from a few human demonstrations, then plan feasible action sequences in new settings by maximizing a learned intention likelihood.