Formation tracking of mobile robots under obstacles using only an active RGB-D camera
This article attempts to achieve leader-follower formation tracking for mobile robots under obstacles with only one RGB-D camera on the follower. In contrast, most existing research employs at least two sensors, including a camera and a LiDAR. However, the limited field of view of RGB-D cameras intr...
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sg-ntu-dr.10356-1723272023-12-06T05:06:16Z Formation tracking of mobile robots under obstacles using only an active RGB-D camera Guan, Renhe Hu, Guoqiang School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Active Camera Obstacle Avoidance This article attempts to achieve leader-follower formation tracking for mobile robots under obstacles with only one RGB-D camera on the follower. In contrast, most existing research employs at least two sensors, including a camera and a LiDAR. However, the limited field of view of RGB-D cameras introduces three significant challenges: 1) intermittent observation of the leader, 2) partial detection of obstacles, and 3) conflicting observations of the leader and obstacles. To overcome these difficulties, we first propose a controller that enables the follower to achieve continuous observation and formation tracking of the leader without obstacles and depth images. To address the partial detection of obstacles, we design a rotating device that allows the camera to actively extend its observation range and resolve conflicts with leader detection. Based on camera feedback and the proposed controller, a multiobjective controller is presented that enables the follower to achieve formation tracking and obstacle avoidance simultaneously, without requiring communication or leader velocity. Simulations and experiments are conducted to demonstrate the feasibility of our methods. Ministry of Education (MOE) National Research Foundation (NRF) This work was supported in part by the National Research Foundation, Singapore under its Medium Sized Center for Advanced Robotics Technology Innovation and in part by the Singapore Ministry of Education Academic Research Fund Tier 1 under Grant RG180/17(2017-T1-002-158). 2023-12-06T05:06:16Z 2023-12-06T05:06:16Z 2024 Journal Article Guan, R. & Hu, G. (2024). Formation tracking of mobile robots under obstacles using only an active RGB-D camera. IEEE Transactions On Industrial Electronics, 71(4), 4049-4058. https://dx.doi.org/10.1109/TIE.2023.3279566 0278-0046 https://hdl.handle.net/10356/172327 10.1109/TIE.2023.3279566 2-s2.0-85161062887 4 71 4049 4058 en RG180/17(2017-T1-002-158) IEEE Transactions on Industrial Electronics © 2023 IEEE. All rights reserved. |
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Engineering::Electrical and electronic engineering Active Camera Obstacle Avoidance Guan, Renhe Hu, Guoqiang Formation tracking of mobile robots under obstacles using only an active RGB-D camera |
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This article attempts to achieve leader-follower formation tracking for mobile robots under obstacles with only one RGB-D camera on the follower. In contrast, most existing research employs at least two sensors, including a camera and a LiDAR. However, the limited field of view of RGB-D cameras introduces three significant challenges: 1) intermittent observation of the leader, 2) partial detection of obstacles, and 3) conflicting observations of the leader and obstacles. To overcome these difficulties, we first propose a controller that enables the follower to achieve continuous observation and formation tracking of the leader without obstacles and depth images. To address the partial detection of obstacles, we design a rotating device that allows the camera to actively extend its observation range and resolve conflicts with leader detection. Based on camera feedback and the proposed controller, a multiobjective controller is presented that enables the follower to achieve formation tracking and obstacle avoidance simultaneously, without requiring communication or leader velocity. Simulations and experiments are conducted to demonstrate the feasibility of our methods. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Guan, Renhe Hu, Guoqiang |
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Article |
author |
Guan, Renhe Hu, Guoqiang |
author_sort |
Guan, Renhe |
title |
Formation tracking of mobile robots under obstacles using only an active RGB-D camera |
title_short |
Formation tracking of mobile robots under obstacles using only an active RGB-D camera |
title_full |
Formation tracking of mobile robots under obstacles using only an active RGB-D camera |
title_fullStr |
Formation tracking of mobile robots under obstacles using only an active RGB-D camera |
title_full_unstemmed |
Formation tracking of mobile robots under obstacles using only an active RGB-D camera |
title_sort |
formation tracking of mobile robots under obstacles using only an active rgb-d camera |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/172327 |
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1784855556772593664 |