John McPhee
Papers
40
Total Citations
977
H-Index
19
About
John McPhee is a prolific researcher whose work spans robotics, biomechatronics, multibody dynamics, and human-robot interaction. With a body of research that has accumulated hundreds of citations, McPhee has made transformative contributions to the design and control of wearable robotic devices, particularly lower-limb prostheses and exoskeletons for individuals with physical disabilities or mobility limitations. Among his most influential contributions is pioneering the use of computer vision and deep convolutional neural networks for environment recognition in robotic prostheses and exoskeletons — a groundbreaking approach inspired by autonomous vehicle technology that has reshaped how intelligent locomotion control systems are developed (cited 79 and 70 times, respectively). His work on energy regeneration in lower-limb devices (62 citations) addresses critical battery life limitations in wearable robotics, while his safety guidelines for exoskeletons provide an essential framework for responsible deployment in healthcare and industry. McPhee has also advanced foundational knowledge in multirobot coordination (132 citations), human foot placement biomechanics, and the integration of machine learning with multibody dynamics. His interdisciplinary approach — bridging mechanical engineering, neuroscience, and artificial intelligence — positions him as a leading voice in building smarter, safer, and more capable assistive robotic technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Human Foot Placement and Balance in the Sagittal Plane53 citations · 2009
- 6Multibody dynamics and control using machine learning52 citations · 2023
- 7
- 8
- 9
- 10