2 citations · 6 across the 15 of their papers we have counts for
8 papers · 1 filter
Learning Robot Manipulation from Audio World Models
Fan Zhang, Michael Gienger
World models have demonstrated impressive performance on robotic learning tasks. Many such tasks inherently demand multimodal reasoning; for example, filling a bottle with water wi…
Bimanual Robot-Assisted Dressing: A Spherical Coordinate-Based Strategy for Tight-Fitting Garments
Jian Zhao, Yunlong Lian, Andy M Tyrrell +2
Robot-assisted dressing is a popular but challenging topic in the field of robotic manipulation, offering significant potential to improve the quality of life for individuals with…
Generation of Real-time Robotic Emotional Expressions Learning from Human Demonstration in Mixed Reality
Chao Wang, Michael Gienger, Fan Zhang
Expressive behaviors in robots are critical for effectively conveying their emotional states during interactions with humans. In this work, we present a framework that autonomously…
CARMA: Context-Aware Situational Grounding of Human-Robot Group Interactions by Combining Vision-Language Models with Object and Action Recognition
Joerg Deigmoeller, Stephan Hasler, Nakul Agarwal +8
We introduce CARMA, a system for situational grounding in human-robot group interactions. Effective collaboration in such group settings requires situational awareness based on a c…
Mirror Eyes: Explainable Human-Robot Interaction at a Glance
Matti Krüger, Daniel Tanneberg, Chao Wang +2
The gaze of a person tends to reflect their interest. This work explores what happens when this statement is taken literally and applied to robots. Here we present a robot system t…
Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings
Andreas Sochopoulos, Nikolay Malkin, Nikolaos Tsagkas +3
Diffusion and flow matching policies have recently demonstrated remarkable performance in robotic applications by accurately capturing multimodal robot trajectory distributions. Ho…
SemanticScanpath: Combining Gaze and Speech for Situated Human-Robot Interaction Using LLMs
Elisabeth Menendez, Michael Gienger, Santiago Martínez +2
Large Language Models (LLMs) have substantially improved the conversational capabilities of social robots. Nevertheless, for an intuitive and fluent human-robot interaction, robots…
CCDP: Composition of Conditional Diffusion Policies with Guided Sampling
Amirreza Razmjoo, Sylvain Calinon, Michael Gienger +1
Imitation Learning offers a promising approach to learn directly from data without requiring explicit models, simulations, or detailed task definitions. During inference, actions a…