Irad ben gal (11 Ergebnisse)

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Hardcover. Zustand: Used; Very Good. Dispatched, from the UK, within 48 hours of ordering. Though second-hand, the book is still in very good shape. Minimal signs of usage may include very minor creasing on the cover or on the spine.

Zustand: New.

Zustand: New. EUGENE KAGAN, PHD, is a senior lecturer in the Department of Industrial Engineering at Ariel University, Israel, and is also an advisor in the Department of Mathematics at the Weizmann Institute of Science and an affiliated researcher at the Laboratory for .

Zustand: New. 2019. Hardcover. . . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Neuware - Offers a theoretical and practical guide to the communication and navigation of autonomous mobile robots and multi-robot systemsThis book covers the methods and algorithms for the navigation, motion planning, and control of mobile robots acting individually and in groups. It addresses methods of positioning in global and local coordinates systems, off-line and on-line path-planning, sensing and sensors fusion, algorithms of obstacle avoidance, swarming techniques and cooperative behavior. The book includes ready-to-use algorithms, numerical examples and simulations, which can be directly implemented in both simple and advanced mobile robots, and is accompanied by a website hosting codes, videos, and PowerPoint slidesAutonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication and Swarming consists of four main parts. The first looks at the models and algorithms of navigation and motion planning in global coordinates systems with complete information about the robot's location and velocity. The second part considers the motion of the robots in the potential field, which is defined by the environmental states of the robot's expectations and knowledge. The robot's motion in the unknown environments and the corresponding tasks of environment mapping using sensed information is covered in the third part. The fourth part deals with the multi-robot systems and swarm dynamics in two and three dimensions.\* Provides a self-contained, theoretical guide to understanding mobile robot control and navigation\* Features implementable algorithms, numerical examples, and simulations\* Includes coverage of models of motion in global and local coordinates systems with and without direct communication between the robots\* Supplemented by a companion website offering codes, videos, and PowerPoint slidesAutonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication and Swarming is an excellent tool for researchers, lecturers, senior undergraduate and graduate students, and engineers dealing with mobile robots and related issues.…

Buch. Zustand: Neu. Neuware - Plan optimal multi-robot search paths despite imperfect sensor information When multiple robots must locate targets in presence of false positive and false negative detection errors, path planning becomes extraordinarily complex. Multi-Agent Search under Uncertainty addresses this challenge directly. Written by researchers with combined expertise spanning defense systems, applied mathematics, and machine learning, this book delivers both theoretical foundations in search and screening theory and ready-to-use algorithms for practical implementation. The book covers cooperative search and navigation methods for autonomous mobile agents operating with incomplete or noisy information. Readers learn how Deep Q-Learning enables robots to develop complex behaviors through trial-and-error interactions rather than pre-programmed instructions. Applications span search and rescue operations, military surveillance, environmental monitoring, and security systems. An accompanying website provides Python code for simulation practice. Key topics include: - Value-based Q-Learning methods where robots learn expected rewards for specific actions in given states under sensor uncertainty conditions - Multi-agent reinforcement learning approaches for swarm robotics where multiple robots learn cooperatively to accomplish collaborative search tasks - Deep reinforcement learning using neural networks to process high-dimensional sensory inputs and execute complex search and tracking behaviors - Algorithms for finding and tracking both stationary and moving targets while minimizing detection time despite false negative and positive readings - Theoretical contributions to search and screening theory alongside practical algorithms validated in autonomous robotic systems development Designed for graduate students and researchers in robotics and reinforcement learning, this book bridges advanced theory with practical application. Professional developers building autonomous systems will find algorithms tested in real-world robotic development.…

Zustand: New. pp. 250.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 268 pages. 10.28x7.17x0.83 inches. In Stock.