Alicia M. Boynton
Papers
3
Total Citations
11
H-Index
2
About
Alicia M. Boynton is a researcher in mechatronics and human-robot interaction, with a focus on wearable robotic systems that enhance user safety and performance during dynamic activities like running. Her work centers on designing and controlling cable-driven parallel robots and mechatronic systems that apply precise, gait-synchronized forces and warnings to users on treadmills. Boynton’s major contributions include the development of a three-tether parallel robot for the University of Utah’s Treadport Active Wind Tunnel, capable of delivering accurate perturbations to walking and running subjects, as detailed in her most-cited paper (8 citations). She has also explored the use of auditory and visual warnings to help users brace for impacts in human-robot interaction, contributing to the design of a Smart Helmet. Her 2025 paper on a mechatronic system for applying gait-synchronized warnings and perturbations demonstrates her ongoing innovation in integrating motion capture, control algorithms, and user studies. With a growing citation record, Boynton’s work advances the field of assistive robotics, offering practical insights for injury prevention and human augmentation in active settings.
Research Focus
Key Achievements
Top Papers
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