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With the integration of large language models (LLMs), embodied agents have strong capabilities to understand and plan complicated natural language instructions.
Generalized method of moments estimation
Lars Peter Hansen · 2010
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Section IV: Chapter 4 - Industrial Robots and Robot System Safety
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React: Synergizing reasoning and acting in language models
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Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation
Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, et al · 2023
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Progprompt: Generating situated robot task plans using large language models
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On the vulnerability of safety alignment in open-access llms
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R-judge: Benchmarking safety risk awareness for llm agents
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Badrobot: Jailbreaking llm-based embodied ai in the physical world
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Hazard challenge: Embodied decision making in dynamically changing environments
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Llm-planner: Few-shot grounded planning for embodied agents with large language models
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