Matteo Parigi Polverini
Politecnico di Milano, Consorzio di Bioingegneria e Informatica Medica, Italian Institute of Technology
Papers
16
Total Citations
377
H-Index
9
About
Matteo Parigi Polverini’s research lies at the critical intersection of human-robot collaboration, safety, and dexterous manipulation. His work is defined by a rigorous, model-driven approach to ensuring that robots can work safely alongside humans and perform complex assembly tasks without expensive external sensors. He introduced the concept of a “kinetostatic safety field” for real-time collision avoidance, a foundational contribution that has garnered 49 citations, and developed computationally efficient safety assessments for collaborative robotics (67 citations). Polverini also pioneered sensorless force control strategies for precision tasks like peg-in-hole insertion (48 citations), and his hierarchical, data-driven control architectures (39 citations) have advanced implicit force control. His research extends to whole-body loco-manipulation, demonstrated in the multi-contact pushing of heavy objects with a centaur-type humanoid robot (44 citations). By developing pre-collision control strategies based on dissipated energy in potential impacts (37 citations) and constraint-based programming for assembly skills (28 citations), Polverini has systematically addressed the core challenges of safe, autonomous, and sensor-efficient robotic interaction, establishing himself as a key contributor to the practical realization of collaborative and humanoid robotics.
Research Focus
Key Achievements
Top Papers
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- 9Implicit Robot Force Control Based on Set Invariance12 citations · 2017
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