2 papers
cs.RO2026
SEVO: Semantic-Enhanced Virtual Observation for Robust VLA Manipulation via Active Illumination and Data-Centric Collection
Tianchonghui Fang, Yuan Zhuang, Fei Miao
Vision-Language-Action (VLA) and imitation-learning policies trained via community toolchains on low-cost hardware frequently fail when deployed outside the training environment. E…
cs.RO2026
PECMAN: Perception-enabled Collaborative Multi-Agent Navigation in Unknown Environments
Tianchonghui Fang, Shaunak Roy, Shalabh Gupta
Most path planners assume fully known, static environments, assumptions that fail when robots navigate in dynamic and partially observable environments. SMART-3D addresses these is…