Learning-Based Shared Control Using Gaussian Processes for Obstacle Avoidance in Teleoperated Robots

Physically inspired models of the stochastic nature of the human-robot-environment interaction are generally difficult to derive from first principles, thus alternative data-driven approaches are an attractive option. In this article, Gaussian process regression is used to model a safe stop maneuver...

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Bibliographic Details
Main Authors: Catalin Stefan Teodorescu, Keir Groves, Barry Lennox
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Robotics
Subjects:
Online Access:https://www.mdpi.com/2218-6581/11/5/102