4 papers
Verification-Gated Agentic Mission-State Governance for Intelligent Industrial Multi-Robot Systems
Guoqin Tang, Qingxuan Jia, Yichen Tan +3
Agentic artificial intelligence is increasingly used to decompose industrial tasks, propose robot actions, and adapt execution plans in dynamic cyber-physical environments. However…
VLM-DEWM: Dynamic External World Model for Verifiable and Resilient Vision-Language Planning in Manufacturing
Guoqin Tang, Qingxuan Jia, Gang Chen +4
Vision-language model (VLM) shows promise for high-level planning in smart manufacturing, yet their deployment in dynamic workcells faces two critical challenges: (1) stateless ope…
Perceiving, Reasoning, Adapting: A Dual-Layer Framework for VLM-Guided Precision Robotic Manipulation
Qingxuan Jia, Guoqin Tang, Zeyuan Huang +5
Vision-Language Models (VLMs) demonstrate remarkable potential in robotic manipulation, yet challenges persist in executing complex fine manipulation tasks with high speed and prec…
3D-Grounded Vision-Language Framework for Robotic Task Planning: Automated Prompt Synthesis and Supervised Reasoning
Guoqin Tang, Qingxuan Jia, Zeyuan Huang +3
Vision-language models (VLMs) have achieved remarkable success in scene understanding and perception tasks, enabling robots to plan and execute actions adaptively in dynamic enviro…