Oliver Harley

Papers

Total Citations

191

H-Index

About

Oliver Harley is a leading researcher in robotic locomotion, specializing in the control and motion planning of wheeled-legged robots. His work bridges the gap between offline trajectory optimization and real-time control, enabling advanced mobility skills for complex robotic systems. Harley’s most influential contribution is his 2021 paper on “Whole-Body MPC and Online Gait Sequence Generation for Wheeled-Legged Robots,” which has garnered 115 citations. In this work, he pioneered a model predictive controller that simultaneously optimizes wheel and torso motions, integrating a kinodynamic model to solve joint velocities and ground reaction forces in a single-task formulation. This breakthrough allows robots to seamlessly transition between walking, driving, and hybrid maneuvers. Building on this, his 2022 paper (76 citations) introduced an optimization-based framework that combines offline motion libraries with online MPC, enabling long-horizon complex locomotion skills that were previously computationally prohibitive. Harley’s research is pivotal for the next generation of agile, all-terrain robots, and his work is widely recognized for its practical impact on autonomous navigation in challenging environments.