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cs.RO2026
What Should Embodied Agents Remember? Benchmarking and Evaluating Memory Modality for Embodied Agents
Junxiang Wang, Yuchen Liu, Yi Wu +6
Memory allows large language model (LLM) agents to use past experience, often stored as textual records, when responding to requests. For embodied agents that control robots, visua…
cs.RO2026
GenPHRI: Agentic Generative Simulation for Physical Human-Robot Interaction
Junxiang Wang, Xinwen Xu, Tiancheng Wu +4
Real-world physical human-robot interaction (pHRI) development is costly and slow, while simulation requires substantial task-specific scene and motion authoring. We present GenPHR…