Ivan Bergonzani

German Research Centre for Artificial Intelligence, Centre National de la Recherche Scientifique

Papers

Total Citations

H-Index

About

Ivan Bergonzani is a robotics researcher specializing in the dynamic locomotion and resilient control of humanoid robots. His work addresses two critical frontiers: achieving fast, agile walking in electrically actuated platforms and ensuring robots can survive and operate after sustaining damage. Bergonzani’s most cited paper (12 citations) experimentally validated motion capture state feedback for real-time humanoid control, a foundational step toward robust bipedal locomotion. He further demonstrated innovative fault tolerance in “First Do Not Fall” (8 citations), where a damaged humanoid robot learned to exploit a wall for support—a key insight for deploying robots in hazardous, unstructured environments. His recent work on the RH5 humanoid (3 citations) pushes toward industrial-grade agility, while his whole-body teleoperation of the Talos robot (2 citations) bridges human intuition and machine autonomy. Bergonzani’s research is distinguished by its practical focus on real-world deployment, balancing theoretical control challenges with experimental validation. His contributions are vital for advancing humanoid robots from labs into dangerous or inaccessible settings, such as disaster response and industrial maintenance.