Pol Banzet

ETH Zurich, École Polytechnique Fédérale de Lausanne

Papers

Total Citations

254

H-Index

About

Pol Banzet is a leading researcher in the field of soft robotics, with a primary focus on bridging the gap between computational modeling and real-world physical systems. His work centers on developing novel control and optimization strategies for soft, compliant robots, aiming to replicate the complex motor skills found in nature. Banzet’s major contributions include pioneering the use of learned differentiable models for soft robot control, enabling more precise and efficient manipulation of these inherently safe and adaptable machines. He has also made significant strides in trajectory optimization for cable-driven soft robot locomotion, and developed the "Real2Sim" method, a technique for optimizing visco-elastic material parameters to accurately simulate real-world soft objects. His research on using compliant universal grippers as adaptive feet for legged robots further demonstrates his innovative approach to bio-inspired design. With his most-cited works amassing over 250 citations, Banzet’s impact is evident in advancing the practical application of soft robots in fields like search and rescue and medicine, where safe human-robot interaction is paramount.