Michael P. Naylor

Accuray (United States), University of Maryland, College Park

Papers

Total Citations

115

H-Index

About

Michael P. Naylor’s research lies at the intersection of medical robotics, autonomous manipulation, and human–machine safety. He is best known for pioneering modular control architectures for rehabilitation exoskeletons, particularly a configuration-space approach that partitions joints into anthropomorphic sets for concurrent, exercise-specific control. This work, detailed in his 2007 paper (52 citations), directly addressed the challenge of safe, adaptable robotic therapy for shoulder rehabilitation. Naylor also contributed to autonomous robotic sampling for space exploration, developing methods for target recognition and localization that reduce reliance on human operators. His most cited work, a 2019 technical overview of the CyberKnife system (53 citations), demonstrates his impact on clinical robotics—specifically in image-guided radiosurgery. Beyond these contributions, Naylor’s distributed control and safety system (2007) established a modular safety architecture that remains influential in rehabilitation robotics. With over 100 combined citations across his key papers, Naylor’s work has shaped both the safety protocols and autonomous capabilities of robots used in therapy and exploration.