Abstract
This chapter introduces fundamental concepts of robot learning and machine learning, discusses commonly used mechanisms such as reinforcement learning and connectionist approaches, and presents three case studies of mobile robots that can learn.
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© 2003 Springer-Verlag London
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Nehmzow, U. (2003). Robot Learning: Making Sense of Raw Sensor Data. In: Mobile Robotics: A Practical Introduction. Springer, London. https://doi.org/10.1007/978-1-4471-0025-6_4
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DOI: https://doi.org/10.1007/978-1-4471-0025-6_4
Publisher Name: Springer, London
Print ISBN: 978-1-85233-726-1
Online ISBN: 978-1-4471-0025-6
eBook Packages: Springer Book Archive