Exploring the Micro World of Robotics Through Insect Robots

Exploring the Micro World of Robotics Through Insect Robots

Pages: 300
DOI: 10.4018/979-8-3693-6150-4
ISBN13: 9798369361504|ISBN13 Softcover: 9798369361511|EISBN13: 9798369361528
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Description & Coverage
Description:

Insect robots, inspired by the agility and resilience of insects, are emerging as innovative tools in disaster recovery efforts. These small, agile robots are designed to navigate through tight spaces, unstable environments, and hazardous conditions that are often inaccessible to human responders. Their ability to operate autonomously or in swarms makes them particularly effective in large-scale disasters where speed and efficiency are crucial. As technology continues to advance, insect robots are poised to play an increasingly vital role in enhancing the effectiveness and safety of disaster recovery operations, providing invaluable support in the race against time to save lives.

Exploring the Micro World of Robotics Through Insect Robots delves into the futuristic field of insect robotics and their pivotal role in disaster recovery scenarios. Encompassing a diverse array of subjects ranging from microcontroller principles and sensor advancements to ethical considerations and policy implications, this book offers a comprehensive perspective on the transformative potential of insect-inspired technologies in disaster response efforts. Covering topics such as advanced algorithms, machine learning, and robot swarms, this book is an excellent resource for emergency management professionals, robotics engineers and developers, public safety and security agencies, academicians, researchers, policymakers, and more.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Advanced Algorithms
  • Artificial Intelligence (AI)
  • Automated Robots
  • Disaster Response
  • Earthquake Reading
  • Edge Processing
  • Healthcare
  • Insect Robots
  • Machine Learning (ML)
  • Nanorobots
  • Network Processing
  • Obstacle Avoidance
  • Plate Tectonics
  • Reinforcement Learning
  • Resource Management
  • Robot Swarms
  • Robotics
  • Sensors
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Editor/Author Biographies
U. Vignesh , is currently an Assistant Professor Senior Grade 2 in School of Computer Science and Engineering, Vellore Institute of Technology (VIT) - Chennai. Prior to his recent appointment at the VIT, he was a Post-Doctoral Fellow in National Institute of Technology (NIT), Trichy – India. Dr. Vignesh received his undergraduate degree in B.Tech (IT) as well as his M.Tech (IT) degree from Anna University - Chennai, and his PhD in Computer Science and Engineering from VIT University - Chennai. Dr. Vignesh published several papers in preferred Journals, patents and chapters in books, and participated in a range of forums on computer science, social science, etc. He also presented various academic as well as research-based papers at several national and international conferences. His research activities are currently twofold: while the first research activity is set to explore the developmental role that society needs with technology such as, Artificial Intelligence; the second major research theme that he is pursuing is focused on the bioinformatics and data mining.

Dr. ANNAVARAPU CHANDRA SEKHARA RAO is currently an Associate Professor in Department of Computer Science and Engineering, Indian Institute of Technlogy (ISM), Dhanbad, Jharkhand.

Dr. SALEEM RAJA is an Associate Professor and researcher with 16+ years of experience teaching courses in both undergraduate and postgraduate levels. Published over 26 articles in peer-reviewed journals and conferences. Trained project students in bachelor and master level in field of web application development, mobile application development, IoT application development, cisco networks and python data science. Organized practical workshops for students and teachers in reputed colleges. Supervised more than 5 applied research projects in Oman.

Chitra P. is a highly dedicated and accomplished Assistant Professor in Computer Science with a passion for fostering student learning and contributing to cutting-edge research. Proven track record of excellence in teaching, curriculum development, and mentorship. Specialized expertise in [specific areas of computer science, e.g., artificial intelligence, machine learning, cybersecurity]. Committed to creating an inclusive and innovative learning environment. Actively engaged in research, with numerous publications in reputable journals and conferences.
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