3 papers
cs.RO2025
FlowVLA: Visual Chain of Thought-based Motion Reasoning for Vision-Language-Action Models
Zhide Zhong, Haodong Yan, Junfeng Li +8
Many Vision-Language-Action (VLA) models are built upon an internal world model trained via next-frame prediction ``''. However, this paradigm attempts to…
cs.RO2025
RationalVLA: A Rational Vision-Language-Action Model with Dual System
Wenxuan Song, Jiayi Chen, Wenxue Li +12
A fundamental requirement for real-world robotic deployment is the ability to understand and respond to natural language instructions. Existing language-conditioned manipulation ta…
cs.CV2025
SemAlign3D: Semantic Correspondence between RGB-Images through Aligning 3D Object-Class Representations
Krispin Wandel, Hesheng Wang
Semantic correspondence made tremendous progress through the recent advancements of large vision models (LVM). While these LVMs have been shown to reliably capture local semantics,…