Predicting force feedback of cutting interactions for haptic bilateral teleoperation

Bachelor Thesis (2024)
Author(s)

R. Kurvits (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Kees Kroep – Mentor (TU Delft - Networked Systems)

RangaRao Venkatesha Prasad – Mentor (TU Delft - Networked Systems)

Q. Song – Graduation committee member (TU Delft - Embedded Systems)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
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Publication Year
2024
Language
English
Graduation Date
26-06-2024
Awarding Institution
Delft University of Technology
Project
['CSE3000 Research Project']
Programme
['Computer Science and Engineering']
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Haptic bilateral teleoperation aims to create systems, where human precision and dexterity can be applied over long distances with the aid of robotic devices. These systems could make remote surgery or spacecraft repair a reality. The main challenge for such systems is latency. TU Delft's Networked Systems group is developing a teleoperation system, which combines predicted force feedback with delayed vision feedback. This project investigates the force feedback prediction of cutting interactions by implementing a simple physics based model to estimate the forces of cutting objects with a knife in a haptic simulation. The quality of the interaction and impact of visual delay is evaluated in a user study. It is found that a simple physics based cutting model can create convincing cutting interactions, which users find to be sufficiently controllable up to a delay of 75ms.

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File under embargo until 26-06-2026