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cs.RO2025
ROSBag MCP Server: Analyzing Robot Data with LLMs for Agentic Embodied AI Applications
Lei Fu, Sahar Salimpour, Leonardo Militano +3
Agentic AI systems and Physical or Embodied AI systems have been two key research verticals at the forefront of Artificial Intelligence and Robotics, with Model Context Protocol (M…
cs.RO2025★ 2 cited
Towards Embodied Agentic AI: Review and Classification of LLM- and VLM-Driven Robot Autonomy and Interaction
Sahar Salimpour, Lei Fu, Kajetan Rachwał +8
Foundation models, including large language models (LLMs) and vision-language models (VLMs), have recently enabled novel approaches to robot autonomy and human-robot interfaces. In…