Machine Learning for Robotics is becoming increasingly important due to the numerous advancements in research and massive deployment of neural nets. This book is for both software and ML engineers as well as robotics engineers who want to employ ML in their work. The guide covers deep learning algorithms that are relevant to core technologies that include perception, localization, prediction, and decision-making. By using real-world robotics scenarios, the book demonstrates how deep learning techniques can be applied and includes code samples for added clarity.
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The author of the book, Abhinav Gupta, is an assistant professor of Robotics and Computer Science at Carnegie Mellon University. Gupta is also the associate director of the Carnegie Mellon Robotics Institute and has done extensive research in the field of robotics. His work is highly regarded, and his name has become synonymous with robotics innovation.
This book offers a fantastic opportunity to learn about machine learning and robotics, especially if you are interested in incorporating ML into your robotics projects. Its practical approach makes it easy to understand and apply the various deep learning algorithms in real-world scenarios. Whether you are a software engineer or a robotics engineer, this book will undoubtedly help you take your work to the next level.
