Anthony L. Threatt
Papers
7
Total Citations
111
H-Index
6
About
Anthony L. Threatt is a pioneering researcher at the intersection of human-robot interaction, assistive robotics, and intelligent interface design, with a particular focus on improving quality of life for aging and post-stroke populations. His most celebrated contribution, "A Gesture Learning Interface for Simulated Robot Path Shaping With a Human Teacher" (2014, 37 citations), exemplifies his expertise in developing intuitive gesture-based control systems that bridge the gap between human intent and machine response — a critical capability for enabling aging in place through smart environments. Threatt's early work leveraging Microsoft Kinect depth data and Growing Neural Gas algorithms (2012, 23 citations) demonstrated his commitment to accessible, low-cost solutions for gesture recognition. His development of the Assistive Robotic Table (ART) — conceived as a transformative home and rehabilitation tool for older adults and stroke patients — reflects his rare ability to unite robotics engineering with human-centered design principles, earning recognition across both technical and clinical communities. His theoretical contributions extend to continuum robotic surfaces, introducing novel kinematic models (2012, 16 citations) that expand how researchers conceptualize flexible robotic structures. With a body of work spanning smart healthcare environments, participatory design methodology, and lifelong machine learning, Threatt represents a vital voice in socially embedded robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3An assistive robotic table for older and post-stroke adults19 citations · 2014
- 4Forward kinematic model for continuum robotic surfaces16 citations · 2012
- 5A vision of the patient room as an architectural-robotic ecosystem8 citations · 2012
- 6
- 7A Method for Lifelong Gesture Learning Based on Growing Neural Gas2 citations · 2014