5 papers · 1 filter
AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models
Yutong Hu, Jan-Nico Zaech, Nikolay Nikolov +6
We propose a standalone autoregressive (AR) Action Expert that generates actions as a continuous causal sequence while conditioning on refreshable vision-language prefixes. In cont…
SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding
Nikolay Nikolov, Giuliano Albanese, Sombit Dey +4
Robotic Foundation Models (RFMs) hold great promise as generalist, end-to-end systems for robot control. Yet their ability to generalize across new environments, tasks, and embodim…
EgoSpot:Egocentric Multimodal Control for Hands-Free Mobile Manipulation
Ganlin Zhang, Deheng Zhang, Longteng Duan +5
We propose a novel hands-free control framework for the Boston Dynamics Spot robot using the Microsoft HoloLens 2 mixed-reality headset. Enabling accessible robot control is critic…
Advances and Innovations in the Multi-Agent Robotic System (MARS) Challenge
Li Kang, Heng Zhou, Xiufeng Song +41
Recent advancements in multimodal large language models and vision-languageaction models have significantly driven progress in Embodied AI. As the field transitions toward more com…
Generalist Robot Manipulation beyond Action Labeled Data
Alexander Spiridonov, Jan-Nico Zaech, Nikolay Nikolov +2
Recent advances in generalist robot manipulation leverage pre-trained Vision-Language Models (VLMs) and large-scale robot demonstrations to tackle diverse tasks in a zero-shot mann…