Holistic Robotics for Dexterous, Adaptive, and Human-Aware Intelligent Systems

I develop robots through the tight integration of embodiment, perception, learning, and interaction, with the goal of enabling increasingly autonomous, safer, and more robust systems for industrial and assistive applications.

My research is organized around four connected pillars: Embodiment & Hardware, Perception & Representation, Learning & Control, and Human-Robot Interaction. Together, they support a holistic approach to robot development inspired by embodied and developmental robotics, where hardware and software are co-designed to help robots perceive, understand, and act reliably in complex real-world environments. I am particularly interested in academic-industrial partnerships that translate knowledge-intensive R&D into socially relevant robotic solutions.