Bruno Trivelli

École Polytechnique Fédérale de Lausanne

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About

Bruno Trivelli is a rising researcher at the intersection of soft robotics, mechanical design, and data-driven modeling. His primary focus lies in advancing origami-inspired robotic systems, where he tackles the fundamental challenge of controlling highly compliant, under-actuated structures. In his landmark 2024 work, "Data‐Driven Kinematic Modeling of Physical Origami Robots," Trivelli pioneered a novel approach that uses empirical data to compensate for material imperfections and mechanical slack inherent in physical origami robots. This method enables precise control of multiple degrees of freedom without requiring complex analytical models or redundant actuators. Though early in his career, his work has already garnered 5 citations, signaling growing interest from the soft robotics community. By bridging the gap between theoretical origami kinematics and real-world hardware constraints, Trivelli is laying the groundwork for more reliable, compact, and compliant robots. His contributions are particularly valuable for applications in deployable structures, medical devices, and search-and-rescue systems where lightweight, adaptable mechanisms are essential. As he continues to refine these data-driven frameworks, Trivelli is poised to become a key figure in the next generation of intelligent, bio-inspired robotics.