Max Robotics — Global Service Robot Directory + US Certification

About

Lars Schiller is a leading researcher in soft robotics, with a focus on bio-inspired design, locomotion, and control. His most cited work, "Toward a Gecko-Inspired, Climbing Soft Robot" (2019, 35 citations), demonstrates a major contribution: the development of a climbing soft robot that significantly improves energy efficiency and speed through refined design. Schiller’s research systematically addresses key challenges in the field, from the engineering design process—as seen in his 2018 paper (18 citations) advocating for systematic methods over ad-hoc ingenuity—to simulation and control. He introduced a lightweight simulation model (2020, 11 citations) that extends piecewise constant curvature modeling for fast forward kinematics estimation, and a gait pattern generator (2020, 7 citations) enabling closed-loop position control by reducing a robot’s joint space from nine to two dimensions. These contributions collectively advance the practical deployment of soft robots by improving their climbing ability, design methodology, simulation fidelity, and precise control. With a growing citation record, Schiller’s work is foundational for students and researchers interested in creating more capable, efficient, and systematically engineered soft machines.