Shared Telemanipulation with VR controllers in an anti slosh scenario

Fuente: arXiv
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Hauptverfasser: Grobbel, Max, Varga, Balint, Hohmann, Sören
Format: Preprint
Veröffentlicht: 2023
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_version_ 1866912258914779136
author Grobbel, Max
Varga, Balint
Hohmann, Sören
author_facet Grobbel, Max
Varga, Balint
Hohmann, Sören
contents Telemanipulation has become a promising technology that combines human intelligence with robotic capabilities to perform tasks remotely. However, it faces several challenges such as insufficient transparency, low immersion, and limited feedback to the human operator. Moreover, the high cost of haptic interfaces is a major limitation for the application of telemanipulation in various fields, including elder care, where our research is focused. To address these challenges, this paper proposes the usage of nonlinear model predictive control for telemanipulation using low-cost virtual reality controllers, including multiple control goals in the objective function. The framework utilizes models for human input prediction and taskrelated models of the robot and the environment. The proposed framework is validated on an UR5e robot arm in the scenario of handling liquid without spilling. Further extensions of the framework such as pouring assistance and collision avoidance can easily be included.
format Preprint
id arxiv_https___arxiv_org_abs_2309_07714
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Shared Telemanipulation with VR controllers in an anti slosh scenario
Grobbel, Max
Varga, Balint
Hohmann, Sören
Robotics
Systems and Control
Telemanipulation has become a promising technology that combines human intelligence with robotic capabilities to perform tasks remotely. However, it faces several challenges such as insufficient transparency, low immersion, and limited feedback to the human operator. Moreover, the high cost of haptic interfaces is a major limitation for the application of telemanipulation in various fields, including elder care, where our research is focused. To address these challenges, this paper proposes the usage of nonlinear model predictive control for telemanipulation using low-cost virtual reality controllers, including multiple control goals in the objective function. The framework utilizes models for human input prediction and taskrelated models of the robot and the environment. The proposed framework is validated on an UR5e robot arm in the scenario of handling liquid without spilling. Further extensions of the framework such as pouring assistance and collision avoidance can easily be included.
title Shared Telemanipulation with VR controllers in an anti slosh scenario
topic Robotics
Systems and Control
url https://arxiv.org/abs/2309.07714