Shaping Human Movement via Bimanually-Dependent Haptic Force Feedback
Author:
Affiliation:
1. The University of Texas at Austin,Mechanical Engineering,Austin,TX,USA
Funder
Health
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10224360/10224361/10224475.pdf?arnumber=10224475
Reference26 articles.
1. A cooperative control framework for haptic guidance of bimanual surgical tasks based on Learning From Demonstration
2. Learning to perform a new movement with robotic assistance: comparison of haptic guidance and visual demonstration
3. Haptic tracking permits bimanual independence.
4. Multi-Sensory Guidance and Feedback for Simulation-Based Training in Robot Assisted Surgery: A Preliminary Comparison of Visual, Haptic, and Visuo-Haptic
5. Path-Following Guidance Using Phantom Sensation Based Vibrotactile Cues Around the Wrist
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1. Enhancing User Performance by Adaptively Changing Haptic Feedback Cues in a Fitts's Law Task;IEEE Transactions on Haptics;2024-01
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