Author

Yang Chen

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Preprint Oct 2026

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

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 the operations a task requires. We introduce ReSight, a task-driven self-improving memory system for embodied agents that expands the capabil...

Li-Rong Che, Yang Chen, Yi-Meng Su et al. · 2 citations · ⚡1

Sep 2026

HarnessVLN: Unifying Training-Free Embodied Navigation through an Agent Harness

This work introduces HarnessVLN, a zero-shot, training-free framework that unifies instruction-following and object-goal navigation through a shared Agent Harness and demonstrates its applicability to both navigation tasks in real-world environments.

Yang Chen, Li-Rong Che, Zhen-Yu Huang et al. · arXiv.org · 8 citations · ⚡2

Preprint Aug 2026

CoCoBench: A Cooperative Coordination Benchmark for Embodied Multi-Agent Task Planning

CoBench is introduced, a construct-level benchmark for evaluating multi-agent embodied coordination in executable household tasks and shows that coordination ability is highly construct-specific: strong overall performance does not imply balanced competence across different coordination types.

Yang Chen, Ye-Xin Xie, Li-Rong Che et al. · 0 citations