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cs.RO2026

Learning to Live: A Step Toward Lifelong Embodied Intelligence

Lirong Che, Peidong Wang, Yimeng Su +11

Embodied agents are usually organized around individual tasks, yet the physical world keeps changing between tasks and during execution. We introduce LIFE (Lifelong Intelligence fr…

cs.RO2026

ReSight: Task-Driven Self-Improving Memory for Embodied Agents

Lirong Che, Yang Chen, Yimeng Su +8

Robots can use historical observations to answer spatiotemporal queries in familiar environments, but the presence of relevant evidence does not imply that existing tools support t…

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…