Titlebook: Collision Detection for Robot Manipulators: Methods and Algorithms; Kyu Min Park,Frank C. Park Book 2023 The Editor(s) (if applicable) and

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conformity

Learning Robot Collisions,Recently, learning-based methods for collision detection have gained popularity as a means of sidestepping some of the implementation difficulties of pure model-based methods and compensating for uncertain dynamic effects, e.g., unmodeled or uncertain parameters in the robot dynamics model and measurement noise.

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Dna262

Conclusion,This book has presented a comprehensive survey of collision detection methods for robot manipulators, with a focus on four learning-based detection methods, two using supervised learning algorithms and the other two based on unsupervised anomaly detection.

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978-3-031-30197-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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1610-7438 ng-based methods.Summarizes the fundamentals of collision deThis book provides a concise survey and description of recent collision detection methods for robot manipulators. Beginning with a review of robot kinodynamic models and preliminaries on basic statistical learning methods, the book covers f

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