Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/146207
Title: Relative docking via range-only measurements
Authors: Cao, Kun
Qiu, Zhirong
Xie, Lihua
Keywords: Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Issue Date: 2019
Source: Cao, K., Qiu, Z., & Xie, L. (2019). Relative docking via range-only measurements. Proceedings of IEEE International Conference on Control and Automation (ICCA), 1114-1119. doi:10.1109/ICCA.2019.8899989
Conference: 2019 IEEE 15th International Conference on Control and Automation (ICCA)
Abstract: This paper studies the problem of range-based relative docking of a single robot. In particular, we propose an integrated localization and navigation scheme for a robot to navigate itself to a desired relative displacement w.r.t. a fixed landmark at an unknown position, where the proposed controllers only require distance and odometry measurements. Instead of using a single range measurement as an indicator of the proximity to the desired docking point in existing works, the main idea of this work is to construct additional artificial anchors along the robot's motion trajectory first and then adopt the measurements corresponding to these anchors as the indicator. It is proved that the proposed controller will navigate the robot to the desired docking position asymptotically given proper parameter settings. Two simulation examples are presented to demonstrate the effectiveness of our theoretical results.
URI: https://hdl.handle.net/10356/146207
ISBN: 9781728111643
DOI: 10.1109/ICCA.2019.8899989
Schools: School of Electrical and Electronic Engineering 
Research Centres: ST Engineering-NTU Corporate Lab 
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ICCA.2019.8899989
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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