Predicting model deformations for predictive force feedback in haptic bilateral teleoperation applications

Towards complex interactions in haptic bilateral teleoperation

Bachelor Thesis (2024)
Author(s)

S. Stoicescu (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

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

Kees Kroep – Mentor (External organisation)

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

In this paper, we investigate the use of heightmap-based models to predict deformations in granular materials during teleoperation tasks. Our primary objective is to provide real-time cutting feedback and contact predictions for haptic bilateral teleoperation applications, thereby enhancing operator control in remote manipulation scenarios. We developed a simulation model that utilizes heightmaps to represent deformable materials and implemented a cutting algorithm to simulate complex interactions with granular soils.

Through a series of experiments, we demonstrated that higher resolution heightmaps significantly improve the accuracy and stability of cutting feedback. Our findings suggest that this approach is a viable method for keeping track of changes in a deformable object's shape and can be further expanded to include a wider range of teleoperation tasks, potentially improving the safety and effectiveness of remote operations in hazardous environments.

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File under embargo until 26-06-2026