Max Robotics — Global Service Robot Directory + US Certification

About

Michael Gerbl is a leading researcher in modular self-reconfigurable robotics, with a primary focus on shape-shifting systems built from triangular structures. His major contributions center on developing novel reconfiguration algorithms that enable modular robots to autonomously change their shape and functionality. Gerbl introduced a groundbreaking description of configuration space using extended binary trees, which provides an elegant mathematical framework for planning and controlling the movement of triangular modules. His work on the PARTS system—a 2D self-reconfigurable programmable mechanical structure—demonstrates the practical validation of these algorithms on functional hardware. Gerbl's parallel reconfiguration algorithm, based on surface flow partitioning, represents a significant advance in efficiency, allowing modules to move simultaneously rather than sequentially. His most cited paper (22 citations) on self-reconfiguration of shape-shifting modular robots has become a foundational reference in the field. Through his research, Gerbl has addressed the long-standing challenge of delivering the promised versatility of modular robots, bridging the gap between theoretical algorithms and real-world hardware implementation.