Predicting force feedback to enable bilateral teleoperation over long distances

Master Thesis (2024)
Author(s)

G.C. Maan (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

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

Michael Weinmann – Graduation committee member (TU Delft - Computer Graphics and Visualisation)

Herman Kroep – Coach (TU Delft - Networked Systems)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
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Publication Year
2024
Language
English
Graduation Date
31-05-2024
Awarding Institution
Delft University of Technology
Programme
['Electrical Engineering | Embedded Systems']
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Haptic bilateral teleoperation is a concept where operators can feel, interact with and manipulate objects in a remote environment. The latency, often introduced by a network over a long distance, on force feedback poses a problem when trying to interact with objects. Model mediated teleoperation tries to mitigate this latency, but introduces new problems. Extending on model mediated teleoperation, this thesis uses a physics simulation based model to create an end-to-end system for haptic bilateral teleoperation, implements robotic control for a Novint Falcon and a model to predict force feedback when cutting through objects. Experiments on the implemented cutting model affirm the models accuracy.

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File under embargo until 31-05-2026