Physical AI | Embodied AI | Mobile Robotics & Humanoid Robots

I bring broad research and development expertise in Physical / Embodied AI with mobile robotics and humanoid platforms. My work spans perception, planning & control, learning under uncertainty, and sim-to-real transfer. Key strengths include:

• Designing sensor fusion pipelines (vision, proprioception, touch) for real-time perception in mobile robots.

• Learning and adapting through embodied experiences: reinforcement learning, imitation, foundation models in robotics, adaptive control.

• Humanoid robot control: manipulation, locomotion, balancing, whole-body coordination.

• Physical AI systems: integrating planning, actuation, safety, human-robot interaction.

Multiple publications on embodied mobile manipulation, in simulation and real robots; built open hardware / low-cost platforms; and collaborated on cross-disciplinary teams linking AI, robotics, perception and control.

I’m looking for collaborations in EU projects focusing on generalist agents, scalable sim-to-real, humanoids in human environments, physical intelligence under constraints (energy, safety, robustness).