A divide-and-conquer method learns stable linear parameter varying dynamical systems in high-dimensional robot joint space by optimizing subsystems and compositing them with a joint Lyapunov function.
A survey of robot learning from demonstration,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems
A divide-and-conquer method learns stable linear parameter varying dynamical systems in high-dimensional robot joint space by optimizing subsystems and compositing them with a joint Lyapunov function.