Mar 26, 2021 · We propose a novel approach that simultaneously learns to segment trajectories into reoccurring patterns and the skills to reconstruct these patterns from ...

This work proposes a novel approach that simultaneously learns to segment trajectories into reoccurring patterns and the skills to reconstruct these ...

Apr 13, 2021 · We show that our approach can be used to learn skills from unlabelled demonstrations of full task executions involving a varying and unknown ...

Mar 8, 2021 · We show that our approach can be used to learn skills from unlabelled demonstrations of full task executions involving a varying and unknown ...

An alternative to selfexploration is to segment skills from human demonstrations, such as Bayesian inference [24,34,35] and trajectory reconstruction [41, 47] .

Apr 7, 2021 · Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters: SKID RAW: Skill Discovery from Raw Trajectories. CoRR abs/2103.14610 (2021).

Skill Learning for Long-Horizon Sequential Tasks. João Alves, Nuno Lau, Filipe Silva ; A Robot Learning from Demonstration Platform Based on Optical Motion ...

", year = "2021", title = "SKID RAW: Skill Discovery from Raw Trajectories", booktitle = "IEEE Robotics and Automation Letters (RA-L)", key = "goal-robots ...

Co-authors ; Skid raw: Skill discovery from raw trajectories. D Tanneberg, K Ploeger, E Rueckert, J Peters. IEEE robotics and automation letters 6 (3), 4696-4703 ...

SKID RAW: Skill Discovery from Raw Trajectories · no code implementations • 26 Mar 2021 • Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters.