Neural Networks for Robotics: An Engineering Perspective by Nancy Arana-Daniel, Alma Y. Alanis, , Carlos Lopez-Franco
Requirements: .PDF reader, 10 MB
Overview: The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost mapping, object recognition, intelligent control of ground and aerial robots, and clustering, with real-time implementations. The reader will learn various methodologies that can be used to solve each stage on autonomous navigation for robots, from object recognition, clustering of obstacles, cost mapping of environments, path planning, and vision to low level control. These methodologies include real-life scenarios to implement a wide range of artificial neural network architectures.
Genre: Non-Fiction > Tech & Devices robots, artificial neural networks, computer vision, robotics
Download Instructions:
https://drop.download/1oo7irb5krqn
https://dailyuploads.net/uh6rwxp47ew9
https://turbobit.net/9pl8k5liyvb7.html
Requirements: .PDF reader, 10 MB
Overview: The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost mapping, object recognition, intelligent control of ground and aerial robots, and clustering, with real-time implementations. The reader will learn various methodologies that can be used to solve each stage on autonomous navigation for robots, from object recognition, clustering of obstacles, cost mapping of environments, path planning, and vision to low level control. These methodologies include real-life scenarios to implement a wide range of artificial neural network architectures.
Genre: Non-Fiction > Tech & Devices robots, artificial neural networks, computer vision, robotics
Download Instructions:
https://drop.download/1oo7irb5krqn
https://dailyuploads.net/uh6rwxp47ew9
https://turbobit.net/9pl8k5liyvb7.html