Collision Risk Assessment and Operation Assistant Strategy for Teleoperation System

Bibliographic Details
Title: Collision Risk Assessment and Operation Assistant Strategy for Teleoperation System
Authors: Shigang Peng, Xiang Cheng, Meng Yu, Xiangchao Feng, Xinyu Geng, Shaofan Zhao, Pengfei Wang
Source: Applied Sciences, Vol 13, Iss 7, p 4109 (2023)
Publisher Information: MDPI AG, 2023.
Publication Year: 2023
Collection: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
Subject Terms: in-orbit manufacturing and assembly, teleoperation, fuzzy inference, collision risk assessment, obstacle avoidance, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
More Details: Teleoperation robots remain superior to fully automated robots in complicated and unstructured environments (e.g., in-orbit assembly). However, the collision risk is also greatly increased in these environments. Therefore, the teleoperation robot should possess the capability of collision risk perception and be configured with security assistance strategy to improve safety and efficiency. With this objective in mind, this paper proposes a collision risk assessment system based on fuzzy theory, which comprehensively considers the effects of shortest distance, operation speed, and delay time. The introduction of fuzzy theory makes the risk assessment results more accurate. Furthermore, this paper also proposes a creative discrete expandable bounding box method to make the calculation of the nearest distance between complicated obstacles and the robot more efficient and faster. Secondly, to improve the safety and efficiency of teleoperation, this paper proposes a set of teleoperation assistance strategies for teleoperation robots based on collision risk. The strategies include partial view highlighting, variation in the motion mapping ratio, and haptic risk warning, all of which are achieved in the graphical interactive interface. Finally, this paper verifies the proposed collision risk model and the operation assistant strategy through experiments. The results show that the proposed fuzzy collision risk model has a correct trend with risk factors, and the proposed operation assistance strategies can effectively reduce the robot collision risk and improve the safety of teleoperation robots. In conclusion, this research contributes to the collision risk assessment and obstacle avoidance assistance strategy of teleoperation robots.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2076-3417
Relation: https://www.mdpi.com/2076-3417/13/7/4109; https://doaj.org/toc/2076-3417
DOI: 10.3390/app13074109
Access URL: https://doaj.org/article/a89efdc8bc1944ff8354a3a4701d4d5e
Accession Number: edsdoj.89efdc8bc1944ff8354a3a4701d4d5e
Database: Directory of Open Access Journals
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More Details
ISSN:20763417
DOI:10.3390/app13074109
Published in:Applied Sciences
Language:English