Research Article
Open access
Published on 27 September 2024
Download pdf
Yang,Z. (2024).Review on sensor technology in robot positioning and control solution.Applied and Computational Engineering,93,7-14.
Export citation

Review on sensor technology in robot positioning and control solution

Zhenyuan Yang *,1,
  • 1 Sendelta International Academy, Shenzhen, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/93/2024BJ0053

Abstract

A sensor is a device that receives signals and responds to the signals or stimuli. The output of the sensors can be the voltage or current. The input of the sensors is very complex. For different types of sensors, there are different types of input. All sensors are categorized based on their applications and principles. In this article, there are mainly two major categories of sensors in the field of engineering included. One is the localization. The localization mainly includes visual sensors, infrared sensors, lidar and ultrasonic sensors. This paper discusses the application scenarios as well as the advantages and disadvantages of each kind of sensor. The SLAM control algorithm for robotics based on sensors will also be addressed. Another focus of this paper is robot control. It only includes a major type of sensor which is the inertial sensor. For this part, the article mainly discusses the applications and advantages & disadvantages of the gyroscope sensor. Also, the prevailing robotics control algorithm- PID control is illustrated. In a more complex environment in engineering, a single sensor may not meet the requirements of the engineers. So, the combination use of the sensors appears. This article also explores the use of machine learning for intelligent sensor design.

Keywords

Sensor technology, robot, positioning and control solutions

[1]. Patel, Bhagwati Charan Sinha, G R Goel, Naveen (2020) “Introduction to sensors.” In Advances in modern science of IOP science

[2]. D. G. Costa (2020) “Visual Sensors Hardware Platforms: A Review”, in IEEE Sensors Journal, vol. 20, no. 8, pp. 4025-4033

[3]. Amir Karim and Jan Y Andersson (2013) “Infrared detectors: Advances, challenges and new technologies” IOP Conf. Ser.: Mater. Sci. Eng. 51 012001

[4]. A. P. S and S. A (2023) “Advancements and Applications of LiDAR Technology in the Modern World: A Comprehensive Review”, in 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)

[5]. A. Sun, Z. Wu, D. Fang, J. Zhang and W. Wang (2016) “Multimode Interference-Based Fiber-Optic Ultrasonic Sensor for Non-Contact Displacement Measurement”, in IEEE Sensors Journal, vol. 16, no. 14, pp. 5632-5635

[6]. Cai, Yiyi, Yang Ou, and Tuanfa Qin. (2024) Improving SLAM Techniques with Integrated Multi-Sensor fusion for 3D reconstruction Sensors 24no.7:2033. https://doi.org/10.3390/s24072033

[7]. J. Li et al. (2022) A Hardware Architecture of Feature Extraction for Real-Time Visual SLAM in IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society

[8]. Zhao, Jianwei, Shengyi Liu, and Jinyu Li. (2022) “Research and Implementation of Autonomous Navigation for Mobile Robots Based on SLAM Algorithm under ROS" Sensors 22, no. 11: 4172. https://doi.org/10.3390/s22114172

[9]. Ulkuhan Guler, Tuna B. Tufan, Aatreya Chakravarti, Yifei Jin, Maysam Ghovanloo,(2023)Implantable and Wearable Sensors for Assistive Technologies, Editor(s): Roger Narayan, Encyclopedia of Sensors and Biosensors (First Edition) Elsevier, Pages 449-473

[10]. Vincenzo Pesce, Andrea Colagrossi and Stefano Silvestrini (2023). “Sensors”, in in Modern Spacecraft Guidance, Navigation, and Control

[11]. NASA. Available online: https://solarsystem.nasa.gov/news/2005/03/14/brief-history-of-gyroscopes (accessed on 24 June 2017).

[12]. Advantages of Gyroscope | disadvantages of Gyroscope (rfwireless-world.com) in Advantages of Gyroscope | disadvantages of Gyroscope (rfwireless-world.com)

[13]. Ballard, Z., Brown, C., Madni, A.M. et al. (2021) Machine learning and computation-enabled intelligent sensor design. Nat Mach Intell 3, 556–565

[14]. Hyou-Arm Joung, Zachary S. Ballard, Jing Wu, Derek K. Tseng, Hailemariam Teshome, Linghao Zhang, Elizabeth J. Horn, Paul M. Arnaboldi, Raymond J. Dattwyler, Omai B. Garner, Dino Di Carlo, and Aydogan Ozcan (2020) “Point-of-Care Serodiagnostic Test for Early-Stage Lyme Disease Using a Multiplexed Paper-Based Immunoassay and Machine Learning”, in ACS Nano 2020 ,229-240

[15]. Angenent-Mari, N.M., Garruss, A.S., Soenksen, L.R. et al. (2020) “A deep learning approach to programmable RNA switches”, in Nat Commun 11, (2020)

Cite this article

Yang,Z. (2024).Review on sensor technology in robot positioning and control solution.Applied and Computational Engineering,93,7-14.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content

About volume

Volume title: Proceedings of Machine Learning assisted Automation Sensing System - CONFMLA 2024

Conference website: https://2024.confmla.org/
ISBN:978-1-83558-627-3(Print) / 978-1-83558-628-0(Online)
Conference date: 21 November 2024
Editor:Mustafa ISTANBULLU
Series: Applied and Computational Engineering
Volume number: Vol.93
ISSN:2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).