ABOUT THE BOOK :

Research and development on mobile robots have brought the attention of scientists and researchers have a high potential in various applications. In Intelligent Automation and Robotics, there is detail discussion about the principle of artificial intelligence underlies and initiates with computational intelligence. So the machines think like human beings and way of representing like them because of Artificial Intelligence matches human intelligence on machines. The most important cultivating arena of behavioural robotics includes multi-robot path planning. The aim here is confined to the path planning strategies of multiple mobile robots in clutter surroundings. This book discussed three different types of hybridization by using various soft-computing techniques such as invasive weed optimization, improved particle swarm optimization, firefly algorithm and we also used oppositional based learning.

ABOUT THE AUTHOR :

Dr Mohit Ramjan Panda completed his PhD in Robotics and Soft Computing in the year 2019. Done is B Tech and M Tech in Computer Science and Engineering in the year 2001 and 2009 respectively. He is working as a assistant professor in the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisa, India. His current research interest are Robotics, Soft Computing, Machine Learning , Computer Vision etc. He published many journal and conference papers in to his credit, indexed in SCI and Scopus. He has reviewed many papers in journals IEEE, ELSEVIER, SPRINGER, WILEY and INDERSCIENCE.He had published 4 patents into his credit so far. He published one book on Multi Robots path planning last year. He has more than 18 years of teaching experience .He has been involved in organizing many international conferences, workshops and FDPs under different Universities.

CONTENTS :

Chapter 01 INTRODUCTION 

Chapter 02 LITERATURE REVIEW 

Chapter 03 KINEMATICS ANALYSIS OF MOBILE ROBOT 

Chapter 04 OPPOSITIONAL INVASIVE WEED OPTIMIZATION FOR OPTIMAL PATHPLANNING IN MOBILE ROBOT 

Chapter 05 HYBRID IWO AND FIRE FLY ALGORITHM 

Chapter 06 HYBRIDIZATION OF IWO AND IPSO 

Chapter 07 Comparison Analysis

 Chapter 08 Conclusions and Future Work 

Chapter 09 REFERENCES List of Publications