Sep 5, 2023 · We propose Elastic-DS, a novel DS learning, and generalization approach that embeds task parameters into the Gaussian Mixture Model (GMM) based Linear ...
Aug 30, 2023 · We propose a dynamical system based motion policy learning and generalization method with stability guarantees that can adapt to new task configurations ...
Abstract: Dynamical System (DS) based Learning from Demonstration (LfD) allows learning of reactive motion policies with stability and convergence guar-.
Sep 5, 2023 · Dynamical System (DS) based Learning from Demonstration (LfD) allows learning of reactive motion policies with stability and convergence ...
Sep 1, 2023 · A dynamical system based motion policy LfD method with stability guarantees that can generalize to new task configurations without new ...
We propose Elastic-DS, a novel DS learning and generalization approach that embeds task parameters into the Gaussian Mixture Model (GMM) based Linear Parameter ...
Dynamical System (DS) based Learning from Demonstration (LfD) allows learning of reactive motion policies with stability and convergence guarantees from a ...
Nov 7, 2023 · With a single demonstration, our matter is able to learn a stable guarantee dynamical system motion policy that can generalize to unseen task ...
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Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies. CoRL 2023: 3485-3517. [c19]. view. electronic edition via DOI ...
Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies · no code implementations • 5 Sep 2023 • Tianyu Li, Nadia Figueroa.