2 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
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…
Cloud Native Robotic Applications with GPU Sharing on Kubernetes
Giovanni Toffetti, Leonardo Militano, Seán Murphy +2
In this paper we discuss our experience in teaching the Robotic Applications Programming course at ZHAW combining the use of a Kubernetes (k8s) cluster and real, heterogeneous, rob…
Efficient delivery of Robotics Programming educational content using Cloud Robotics
Sean Murphy, Leonardo Militano, Giovanni Toffetti +1
In this paper, we report on our use of cloud-robotics solutions to teach a Robotics Applications Programming course at Zurich University of Applied Sciences (ZHAW). The usage of Ku…