Max Robotics — Global Service Robot Directory + US Certification

About

Pierre Schegg is a leading researcher at the intersection of soft robotics, simulation, and autonomous surgical systems. His work focuses on developing generic computational frameworks for modeling, simulating, and controlling soft continuum robots—machines that can bend, twist, and navigate delicate environments like the human body. Schegg’s major contributions include co-authoring a highly-cited review (60 citations) on mechanical modeling and control methods for soft robots, which serves as a foundational resource for the field. He also created **SofaGym** (45 citations), an open-source platform that bridges the SOFA physics engine with OpenAI Gym, enabling reinforcement learning researchers to train algorithms on realistic soft robot simulations. In the medical domain, Schegg has pioneered automated planning for robotic guidewire navigation in coronary arteries (14 citations) and, most recently, demonstrated autonomous AI-guided positioning for transcatheter heart valve implantation—validated in both teleoperation and phantom studies. His work is notable for its translational impact, directly addressing the complexity of minimally invasive surgery by combining physics-based simulation, machine learning, and robotic control. With over 120 total citations and a rapidly growing portfolio, Schegg is shaping the future of intelligent, autonomous soft robotic systems for healthcare.