Robert A. Scheidt
Orcid: 0000-0002-2024-5051
According to our database1,
Robert A. Scheidt
authored at least 14 papers
between 2005 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Utility and Usability of Two Forms of Supplemental Vibrotactile Kinesthetic Feedback for Enhancing Movement Accuracy and Efficiency in Goal-Directed Reaching.
Sensors, 2023
2021
Effect of Short-Term Exposure to Supplemental Vibrotactile Kinesthetic Feedback on Goal-Directed Movements after Stroke: A Proof of Concept Case Series.
Sensors, 2021
On The Precision Of Markerless 3d Semantic Features: An Experimental Study On Violin Playing.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2018
Tactile-STAR: A Novel Tactile STimulator And Recorder System for Evaluating and Improving Tactile Perception.
Frontiers Neurorobotics, 2018
Proceedings of the Haptics: Science, Technology, and Applications, 2018
2016
2015
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
2014
Age-related differentiation of sensorimotor control strategies during pursuit and compensatory tracking.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the American Control Conference, 2014
2012
Remembering forward: Neural correlates of memory and prediction in human motor adaptation.
NeuroImage, 2012
2011
A quantitative and standardized robotic method for the evaluation of arm proprioception after stroke.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Visual and proprioceptive contributions to compensatory and pursuit tracking movements in humans.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2005
A Real-Time Haptic/Graphic Demonstration of how Error Augmentation can Enhance Learning.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005