Machine Learning Methods for Engineering Application Development

Automated Systems using AI in the Internet of Robotic Things: A New Paradigm for Robotics

Author(s): T. Saravanan* and P. Sasikumar

Pp: 127-144 (18)

DOI: 10.2174/9879815079180122010012

* (Excluding Mailing and Handling)


The Internet of Things (IoT) allows a huge number of “things” with unique addresses to connect and exchange data through the current internet or suitable network protocols. This chapter proposes a new framework for controlling and monitoring activities at deployment sites and industrial automation systems, in which intelligent objects may follow peripheral occurrences, induce sensor data from a variety of sources, and apply ad hoc, local, and distributed “machine intelligence” to choose the optimal course of action, and then to act in a seamless manner to monitor or disseminate static or dynamic location conscious robotic things in the real world by giving the means to employ them as the Internet of robotic things (IoRT). While multirobotic systems have progressed, and robots are continuously being enriched by vertical robotic service, and simpler developing functionalities. For the constant and seamless support for which they were created, centric divisions are insufficient. The important aspects of IoRT are highlighted in this article, which includes efficient Coordination Algorithms for Multi Robot Systems, optimization of multi robot task allocation, and modelling and simulation of robot manipulators. The purpose of this chapter is to obtain a better knowledge of IoRT architectural assimilation and to identify key research goals in this field.

Keywords: Geometric pattern, Internet of robotic-things, Multi-robot, Synchronization, Tardiness and coordination algorithms.

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