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Find a path to becoming a Obstacle Avoidance. Learn more at:
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Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Obstacle Avoidance.
Provides a comprehensive overview of obstacle avoidance and path planning for mobile robots. It covers a wide range of topics, from sensor modeling to control algorithms.
Presents fundamentals and algorithms for robot motion planning, including motion planning in presence of obstacles.
Written by leading experts in autonomous vehicle development, this book presents a systematic approach to real-time obstacle avoidance, covering sensor fusion, path planning, and decision-making.
Presents a comprehensive overview of obstacle avoidance for service robots. It covers topics such as sensor technology, perception algorithms, and control strategies.
Provides a comprehensive treatment of obstacle avoidance and motion planning for mobile robots, covering both theoretical foundations and practical implementation.
Presents a comprehensive overview of obstacle avoidance for autonomous underwater vehicles. It covers topics such as sensor technology, perception algorithms, and control strategies.
Provides a comprehensive review of obstacle avoidance techniques for mobile robots, covering both theoretical concepts and practical implementation considerations.
Focuses on computer vision techniques for obstacle avoidance, providing a detailed understanding of image processing, object recognition, and scene understanding.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/cdj6pf/obstacle