Affiliation:
1. Izmir Kavram Vocational School
Abstract
This article proposes the integration of electromagnetic weapons on a robot, design and construction of an electromagnetic armed robot, autonomous targeting of possible targets with the electromagnetic weapon, and the features a electromagnetic armed safety robot should have. Unlike traditional user-targeted field security robot approaches, the robot mentioned in this study detects potential threats in the task area with image processing and artificial intelligence techniques, so the user can accurately identify and autonomously target targets without the need for controlled targeting. Unlike today’s armed robots, an electromagnetic armed robot, which will be a new literature study, has been developed to create a reference path. An electromagnetic weapon that can be carried by a robot is produced and integrated into the robot and a new armed robot approach with electromagnetic weapon is introduced. Various methods are proposed considering the range restriction of electromagnetic weapons and possible targeting errors of the robot user. A control algorithm has been developed to have the most appropriate targeting under the dynamic constraints of the robot and user for target tracking. Prototyping and experiments show the ability of an autonomous security robot with an autonomous targeting system to troubleshoot user problems and targeting problems. In addition, various methods and recommendations are provided for the features that a electromagnetic armed security robot working in the field should have.
Publisher
Islerya Medikal ve Bilisim Teknolojileri
Reference25 articles.
1. Cai G, Dias J, Seneviratne L. A survey of small-scale unmanned aerial vehicles: Recent advances and future development trends. Unmanned Systems 2004; 2: 175-199.
2. Sapaty P. Unmanned and autonomous ground vehicle. International Journal of Electrical and Computer Engineering 2019; 9(5): 4466-4472.
3. Loong CKYL, Koonjul Y, Nagowah L. A low cost autonomous unmanned ground vehicle. Future Computing and Informatics Journal 2018; 3(2): 304–320.
4. Kurkin A, Pelinovsky E, Tyugin D, Kurkina O, Belyakov V, Makarov V, Zeziulin D. Coastal remote sensing using unmanned ground vehicles. International Journal of Environmental Science 2016; 1: 183–189.
5. Wasson SR, Guilberto J, Ogg K, Wedeward K, Bruder S, El-Osery AI. An unmanned ground vehicle for landmine remediation. Proceedings of SPIE - The International Society for Optical Engineering 2004; 5415: 1231-1239.