Approaches and Challenges in Internet of Robotic Things

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