Max Robotics — Global Service Robot Directory + US Certification

About

John Hedley is a robotics researcher specializing in mobile manipulation, neural control systems, and service robotics. His work centers on developing intelligent, omnidirectional robotic platforms for real-world applications, from restaurant automation to home monitoring. Hedley’s most cited paper, “Development of a Robotic Waiter System” (2016, 74 citations), introduced a mecanum wheel-based mobile waiter robot prototype, addressing labor shortages in the service industry. He further advanced neural control with “FumeBot: A Deep Convolutional Neural Network Controlled Robot” (2019, 16 citations), integrating deep learning for autonomous home monitoring via a Raspberry Pi-powered robot. His earlier work on adaptive neural kinematic controllers (2012, 8 citations) laid groundwork for trajectory tracking in nonholonomic robots, while his series of omnidirectional mobile robot designs (2016, 7 and 6 citations) explored embedded color vision and practical platform implementation. Most recently, Hedley’s “Stastaball: Design and Control of a Statically Stable Ball Robot” (2023, 5 citations) tackles dynamic balancing challenges in ballbots, demonstrating ongoing innovation in stable, maneuverable platforms. With over 100 total citations, Hedley’s contributions bridge theoretical neural control with tangible robotic systems, making his work valuable for students and researchers interested in service robotics, embedded AI, and omnidirectional locomotion.