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What is PRM

AI and Big Data’s Potential for Disruptive Innovation
Probabilistic road map.
Published in Chapter:
Artificial Intelligence for Extended Software Robots, Applications, Algorithms, and Simulators
Gayathri Rajendran (Pondicherry University, India) and Uma Vijayasundaram (Pondicherry University, India)
Copyright: © 2020 |Pages: 22
DOI: 10.4018/978-1-5225-9687-5.ch003
Abstract
Robotics has become a rapidly emerging branch of science, addressing the needs of humankind by way of advanced technique, like artificial intelligence (AI). This chapter gives detailed explanation about the background knowledge required in implementing the software robots. This chapter has an in-depth explanation about different types of software robots with respect to different applications. This chapter would also highlight some of the important contributions made in this field. Path planning algorithms are required for performing robot navigation efficiently. This chapter discusses several robot path planning algorithms which help in utilizing the domain knowledge, avoiding the possible obstacles, and successfully accomplishing the tasks in lesser computational time. This chapter would also provide a case study on robot navigation data and explain the significant of machine learning algorithms in decision making. This chapter would also discuss some of the potential simulators used in implementing software robots.
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