Max Robotics — Global Service Robot Directory + US Certification

About

Zachary Manchester is a pioneering roboticist and computational engineer whose work spans trajectory optimization, robot motion planning, and structural mechanics. Based at Carnegie Mellon University, Manchester has made transformative contributions to the field of robot control by developing algorithms that are both mathematically rigorous and practically deployable on real hardware. His most celebrated work includes ALTRO, a fast constrained trajectory optimization solver (177 citations) that bridges the gap between numerical robustness and computational efficiency—a longstanding challenge in robot motion planning. His research on contact-implicit trajectory optimization (spanning multiple papers totaling over 150 citations) has fundamentally advanced how robots reason about making and breaking contact with their environments. TinyMPC brings model-predictive control to resource-constrained microcontrollers (40 citations), democratizing sophisticated control algorithms for small robotic platforms. Remarkably, Manchester's intellectual range extends beyond robotics entirely: his work on auxetic materials and handedness in shearing structures (203 citations) demonstrates deep cross-disciplinary curiosity, connecting mechanical metamaterials to scalable design principles. His contributions to multi-UAV cooperative transport and legged robot state estimation further illustrate a researcher dedicated to solving real-world robotics challenges with elegant computational tools.