Freshly Printed - allow 10 days lead
Couldn't load pickup availability
Multi-robot Exploration for Environmental Monitoring
The Resource Constrained Perspective
A detailed exploration of applied machine learning for robotics applications
Kshitij Tiwari (Author), Nak Young Chong (Author)
9780128176078, Elsevier Science
Paperback, published 4 December 2019
276 pages, Approx. 100 illustrations
22.9 x 15.1 x 1.8 cm, 0.45 kg
Multi-robot Exploration for Environmental Monitoring: The Resource Constrained Perspective provides readers with the necessary robotics and mathematical tools required to realize the correct architecture. The architecture discussed in the book is not confined to environment monitoring, but can also be extended to search-and-rescue, border patrolling, crowd management and related applications. Several law enforcement agencies have already started to deploy UAVs, but instead of using teleoperated UAVs this book proposes methods to fully automate surveillance missions. Similarly, several government agencies like the US-EPA can benefit from this book by automating the process. Several challenges when deploying such models in real missions are addressed and solved, thus laying stepping stones towards realizing the architecture proposed. This book will be a great resource for graduate students in Computer Science, Computer Engineering, Robotics, Machine Learning and Mechatronics.
Part-I: The Curtain Raiser1. Introduction2. Target Environment3. Utilizing Robots4. Simultaneuous Localization and Mapping (SLAM) Part-II: The Essentials5. Preliminaries6. Gaussian Process7. Coverage Path Planning8. Informative Path Planning Part-III: Mission Characterization9. Problem Formulation10. Endurance and Energy Estimation11. Range Estimation Part-IV: Scaling to Multiple Robots12. Multi-robot Systems13. Fusion Part-V: Continuous Spatiotemporal Dynamics14. Temporal Evolutions Part-VI: Epilogue15. Algal Bloom Monitoring16. Cumulus Cloud Monitoring17. Search and Rescue18. Signal strength based localization 19. Conclusion
Subject Areas: Mechanical engineering [TGB]
