activity
20192026
most citedPlanning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning

13 citations · 23 across the 5 of their papers we have counts for

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Showing 2026Show all

2 papers · 1 filter

cs.RO2026

From a Single Demonstration to a General Policy for Contact-Rich Manipulation

Xing Li, Oliver Brock

We present a Learning from Demonstration (LfD) framework that achieves one-shot generalization in multi-stage, contact-rich manipulation tasks. Central to our approach is the utili…

cs.RO2026

AsyncShield: A Plug-and-Play Edge Adapter for Asynchronous Cloud-based VLA Navigation

Kai Yang, Zedong Chu, Yingnan Guo +6

While Vision-Language-Action (VLA) models have been demonstrated possessing strong zero-shot generalization for robot control, their massive parameter sizes typically necessitate c…