TalOS Robotics AI — Physical AI for Humanoids

January 1, 2026 · 1 min read

Co-Founder & CTO. TalOS Robotics AI is an early-stage startup enhancing humanoid and general legged-robotics technology — building software that lets operators train, deploy, and interact with robots through human feedback.

What I’m building

  • VLA skill libraries — Vision-Language-Action policies so a single robot can learn many skills and choose the right one for each industrial task, generalizing beyond a single demonstration.
  • An MCP (Model Context Protocol) app that wraps training, deployment, and human-in-the-loop feedback as agent-callable tools, drastically simplifying the operator workflow and lowering the skill barrier for non-experts.
  • The full robotics/ML stack — humanoid simulation (MuJoCo, Isaac Sim), ROS 2 integration, LLM/agent-driven control, and the dashboard tooling around it.

Python · PyTorch · ROS 2 · MuJoCo · Isaac Sim · MCP · LLM agents

Physical AI VLA Humanoid Robotics MCP Isaac Sim
Lorenzo Ortolani
Authors
Lorenzo Ortolani (he/him)
Roboticist · Physical AI & VLA for Humanoids
I build Physical AI — robots that perceive, reason, and act in the real world. My focus is advancing Vision-Language-Action (VLA) policies so that a single humanoid can learn a diverse library of skills and choose the right one for whatever industrial task it faces, generalizing far beyond a single demonstration. I co-founded TalOS Robotics AI to put this in operators’ hands, and I work across the full stack: locomotion and navigation, learned manipulation, sim-to-real, and the agent tooling that wraps it all together.