4 citations · 7 across the 6 of their papers we have counts for
6 papers
CompliantVLA-adaptor: VLM-Guided Variable Impedance Action for Safe Contact-Rich Manipulation
Heng Zhang, Wei-Hsing Huang, Qiyi Tong +7
We propose a CompliantVLA-adaptor that augments the state-of-the-art Vision-Language-Action (VLA) models with vision-language model (VLM)-informed context-aware variable impedance…
An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challenges
Chao Xu, Suyu Zhang, Yang Liu +11
Vision-Language-Action (VLA) models are driving a revolution in robotics, enabling machines to understand instructions and interact with the physical world. This field is exploding…
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
Leon Keller, Daniel Tanneberg, Jan Peters
Imitation learning is a popular method for teaching robots new behaviors. However, most existing methods focus on teaching short, isolated skills rather than long, multi-step tasks…
Beyond the Cascade: Juggling Vanilla Siteswap Patterns
Mario Gomez Andreu, Kai Ploeger, Jan Peters
Being widespread in human motor behavior, dynamic movements demonstrate higher efficiency and greater capacity to address a broader range of skill domains compared to their quasi-s…
Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation
Paul Jansonnie, Bingbing Wu, Julien Perez +1
Learning skills that interact with objects is of major importance for robotic manipulation. These skills can indeed serve as an efficient prior for solving various manipulation tas…
Clustering of Motion Trajectories by a Distance Measure Based on Semantic Features
Christoph Zelch, Jan Peters, Oskar von Stryk
Clustering of motion trajectories is highly relevant for human-robot interactions as it allows the anticipation of human motions, fast reaction to those, as well as the recognition…