Jonathan Butner
Papers
1
Total Citations
4
H-Index
1
About
Jonathan Butner’s research lies at the intersection of human motor control and robotic systems, with a focus on how people interact with admittance-type robotic devices. His most-cited work, “Human Velocity Control of Admittance-Type Robotic Devices With Scaled Visual Feedback of Device Motion” (2016), investigates how ten human subjects control velocity in nonbackdrivable manipulators—devices that move in proportion to user-applied force. This study, with 4 citations, provides foundational insights into the precision and accuracy of human velocity control when visual feedback is scaled, informing the design of safer, more intuitive human-robot interfaces. Butner’s contributions are particularly relevant to rehabilitation robotics and teleoperation, where understanding human motor behavior is critical. His work demonstrates how subtle adjustments in feedback can dramatically improve user performance, bridging gaps between engineering and neuroscience. By characterizing these interactions, Butner has helped lay groundwork for more responsive robotic aids, impacting fields from assistive technology to industrial automation. His research continues to influence how engineers design devices that anticipate and adapt to human intent.
Research Focus
Key Achievements
Top Papers
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