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cs.RO2026
HarnessVLN: Unifying Training-Free Embodied Navigation through an Agent Harness
Yang Chen, Lirong Che, Zhenyu Huang +7
Embodied navigation requires agents to ground instructions or object goals in spatial observations and translate plans into successful execution. As multimodal large language model…
cs.RO2026
Language-Guided Terrain-Adaptive Neural MPC for Autonomous Traversal of Articulated Tracked Robots
Zhenfeng Gan, Yanbo Chen, Lirong Che +4
In urban search and rescue, articulated tracked robots (ATRs) must traverse structured but contact-rich environments such as stairwells and cluttered building interiors. Reliable a…
cs.RO2026
CoCoBench: A Cooperative Coordination Benchmark for Embodied Multi-Agent Task Planning
Yang Chen, Ye-Xin Xie, Lirong Che +8
Agent systems powered by multimodal large language models (MLLMs) have advanced rapidly in recent years, yet existing embodied-agent benchmarks still lack fine-grained diagnostics…