Description
Studies on robotics applications have grown substantially in recent years, with swarm robotics being a relatively new area of research. Inspired by studies in swarm intelligence and robotics, swarm robotics facilitates interactions between robots as well as their interactions with the environment.
The Handbook of Research on Design, Control, and Modeling of Swarm Robotics is a collection of the most important research achievements in swarm robotics thus far, covering the growing areas of design, control, and modeling of swarm robotics. This handbook serves as an essential resource for researchers, engineers, graduates, and senior undergraduates with interests in swarm robotics and its applications.
Reviews and Testimonials
After surveying the current work being done in swarm robotics, the collection presents recent research results on cooperative movement and control, space deployment and formation control, path planning, target searching, stochastic modeling, cooperative operation and partner recruitment, and human-swarm interaction. The 27 contributions explore secure communication in swarm robotics, simulation of human nature and crowd behavior, shape control of swarm robots, distributed algorithms, autonomous driving, chemical plume tracking, cooperative scalar field mapping, underwater swarm robotics, and cockroach-inspired shelter seeking for holonomic swarms of flying robots.
– ProtoView Reviews
Swarm robotics is an active and complex research area of great importance for many applications. The large group of researchers featured in this volume reflects the vibrancy of the field.
– H. Van Dyke Parunak, Computing Reviews, May 2016
Author's/Editor's Biography
Ying Tan (Ed.)
Ying Tan is a full professor and PhD advisor at the School of Electronics Engineering and Computer Science of Peking University, and director of Computational Intelligence Laboratory at Peking University (PKU). He received his BEng, MS, and PhD from Southeast Univ., in 1985, 1988, and 1997, respectively. He is the inventor of Fireworks Algorithm (FWA). He serves as the Editor-in-Chief of
International Journal of Computational Intelligence and Pattern Recognition (IJCIPR), the Associate Editor of IEEE Transaction on Cybernetics (Cyb), the Associate Editor of IEEE Transaction on Neural Networks and Learning Systems (NNLS),
International Journal of Artificial Intelligence (IJAI),
International Journal of Swarm Intelligence Research (IJSIR), etc. He also served as an Editor of Springer’s Lecture Notes on Computer Science (LNCS) for more than 15 volumes, and Guest Editors of several referred Journals, including Information Science, Softcomputing, Neurocomputing, Natural Computing,
International Journal of Artificial Intelligence, IJSIR, B&B, Computer Journal, IEEE/ACM Transactions on Computational Biology and Bioinformatics. He is a member of Emergent Technologies Technical Committee (ETTC), Computational Intelligence Society of IEEE since 2010. He is a senior member of IEEE and ACM and a senior member of the CIE. He is the founder and chair of the ICSI International Conference series. He was the general chair of joint general chair of 1st&2nd BRICS CCI, program committee co-chair of IEEE WCCI 2014, publicity chair of IEEE SSCI 2016, etc. Prof. Ying Tan’s main interests include computational intelligence, swarm intelligence, swarm robotics, data mining, and intelligent information processing for information security. He has published more than two-hundred papers in refereed journals and conferences in these areas, and authored/co-authored ten books and fifteen book chapters, and received three invention patents.