This work introduces RobotAgentBench (RAB), a comprehensive benchmark for evaluating robot agents in realistic, open-world household environments and enables systematic comparisons of standalone VLA/WAM models and diverse robot agent architectures under a unified planning-execution-verification framework.
Ling-Jun Mao, Jing-Lin Cao, Lu-Kun He et al.· 0 citations
RSIAgent is introduced, a training-free multi-agent framework for recursive self-improvement through autonomous memory construction that substantially improves strong open-source models, enabling Kimi-K3 and GLM-5.3 to outperform frontier closed-source models including GPT-6.3.
Si-Bo Zhu, Shi-Cheng Fan, Xin-Yue Wang et al.· 10 citations
This paper presents StructAgent, a state-centered framework that introduces a unified state for maintaining compact, verifiable task progress and a structured workflow that regulates progress through verifier-backed state transitions and generalizes beyond desktop environments to Minecraft, demonstrating the generality...
Wenyi Wu, Sibo Zhu, Kun Zhou et al.· 1 citation
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