Approaches and Challenges in Internet of Robotic Things

Aqsa Sayeed, Chaman Verma (), Neerendra Kumar (), Neha Koul and Zoltán Illés
Additional contact information
Aqsa Sayeed: Department of Computer Science & IT, Central University of Jammu, Jammu 181143, India
Chaman Verma: Department of Media and Educational Informatics, Faculty of Informatics, Eötvös Loránd University, 1053 Budapest, Hungary
Neerendra Kumar: Department of Computer Science & IT, Central University of Jammu, Jammu 181143, India
Neha Koul: Department of Computer Science & IT, Central University of Jammu, Jammu 181143, India
Zoltán Illés: Department of Media and Educational Informatics, Faculty of Informatics, Eötvös Loránd University, 1053 Budapest, Hungary

Future Internet, 2022, vol. 14, issue 9, 1-30

Abstract: The Internet of robotic things (IoRT) is the combination of different technologies including cloud computing, robots, Internet of things (IoT), artificial intelligence (AI), and machine learning (ML). IoRT plays a major role in manufacturing, healthcare, security, and transport. IoRT can speed up human development by a very significant percentage. IoRT allows robots to transmit and receive data to and from other devices and users. In this paper, IoRT is reviewed in terms of the related techniques, architectures, and abilities. Consequently, the related research challenges are presented. IoRT architectures are vital in the design of robotic systems and robotic things. The existing 3–7-tier IoRT architectures are studied. Subsequently, a detailed IoRT architecture is proposed. Robotic technologies provide the means to increase the performance and capabilities of the user, product, or process. However, robotic technologies are vulnerable to attacks on data security. Trust-based and encryption-based mechanisms can be used for secure communication among robotic things. A security method is recommended to provide a secure and trustworthy data-sharing mechanism in IoRT. Significant security challenges are also discussed. Several known attacks on ad hoc networks are illustrated. Threat models ensure integrity confidentiality and availability of the data. In a network, trust models are used to boost a system’s security. Trust models and IoRT networks play a key role in obtaining a steady and nonvulnerable configuration in the network. In IoRT, remote server access results in remote software updates of robotic things. To study navigation strategies, navigation using fuzzy logic, probabilistic roadmap algorithms, laser scan matching algorithms, heuristic functions, bumper events, and vision-based navigation techniques are considered. Using the given research challenges, future researchers can get contemporary ideas of IoRT implementation in the real world.

Keywords: IoRT; robotics; sensors; augmented reality and virtual reality; robot navigation techniques; heuristic functions; bumper event; fuzzy logic; trust-based mechanism; IoRT security framework; threat model; trust model; machine learning; IoRT remote server access; IoRT energy efficiency (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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