Jeannette Elliott
Papers
6
Total Citations
20
H-Index
3
About
Jeannette Elliott is pioneering hands-free physical human-robot interaction, with a focus on assistive mobility technologies that empower individuals with limited upper-body function. Her core research centers on developing intuitive, torso-driven control systems for mobile robots and wheelchairs, enabling users to navigate without using their hands. Elliott’s major contribution is the design and validation of the Torso-dynamics Estimation System (TES), a novel interface combining a Force Sensing Seat (FSS) with inertial measurement units to accurately measure torso kinetics and kinematics. This system has been cited over 14 times in just two years, reflecting its rapid impact on the field. She also led the development of PURE (Personalized Unique Rolling Experience), a ballbot wheelchair that uses torso lean-to-steer control, offering manual wheelchair users a transformative way to reclaim the use of both hands for daily activities. Her work bridges robotics, biomechanics, and human-centered design, with papers appearing in top venues and earning recognition for its potential to redefine mobility assistance. Elliott’s research stands out for its practical, validated approach to creating more natural and empowering interfaces for human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Driving a Ballbot Wheelchair with Hands-Free Torso Control4 citations · 2024
- 4
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- 6Driving a Ballbot Wheelchair with Hands-Free Torso Control2 citations · 2024