most cited3D-Grounded Vision-Language Framework for Robotic Task Planning: Automated Prompt Synthesis and Supervised Reasoning

4 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Artificial Intelligence-Enabled Space Robot Operations: Technologies, Challenges and Prospects

Zeyuan Huang, Gang Chen, Zixuan Hao +7

Space robots are increasingly expected to perform long-duration, contact-rich, and multi-stage operations with limited human intervention. Recent advances in artificial intelligenc…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2025

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…

cs.RO2025★ 4 cited

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…