Probabilistic Robotics (Intelligent Robotics and Autonomous Agents series)
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Discover the ultimate resource for aspiring and seasoned robotics engineers with this comprehensive textbook that dives deep into the essential algorithms and probabilistic theories shaping the future of robotics and artificial intelligence. Authored by leading experts in the field, this book covers a multitude of complex topics, such as Kalman Filters, POMDPs, and advanced motion planning techniques. Each chapter is crafted with clarity, ensuring that even the most intricate...
Show moreDiscover the ultimate resource for aspiring and seasoned robotics engineers with this comprehensive textbook that dives deep into the essential algorithms and probabilistic theories shaping the future of robotics and artificial intelligence. Authored by leading experts in the field, this book covers a multitude of complex topics, such as Kalman Filters, POMDPs, and advanced motion planning techniques. Each chapter is crafted with clarity, ensuring that even the most intricate concepts are presented in an understandable manner, making it a standout choice for both graduate students and researchers.
The organized structure allows readers to progressively build their knowledge, making connections between different theories and their practical applications in robotics. With numerous real-world examples, this book not only conveys critical information but also ignites the creativity and curiosity essential for innovative problem-solving in robotic systems.
Unlike other texts that might overwhelm the reader with jargon, the authors have a knack for demystifying complex subjects and presenting a logical flow that leads learners to grasp the underlying principles effectively. It's the perfect jump-off point for undergraduates transitioning into graduate studies, as well as an invaluable reference for professionals seeking to enhance their capabilities.
From the nuances of Bayesian statistics to the intricacies of SLAM, this textbook embodies a rich tapestry of interdisciplinary knowledge that bridges gaps across various domains within engineering. Whether you're involved directly in robotics or adjacent fields, this book offers insights that are both applicable and transformational.
Invest in your future in technology with this essential read, designed for those who are serious about advancing their understanding of robotics and AI.
Less| manufacturer | The MIT Press |
|---|---|
| color | Blue |
| height | 9.25 |
| weight | 2.8990787453 |
| width | 1.53 |
| length | 8.31 |
| releaseDate | 2005-08-19T00:00:01Z |
| languages | [ Published Value = English ] [ Original Language Value = English ] [ Unknown Value = English ] |
| productGroup | Book |
The book covers various essential topics in robotics including Kalman Filters, POMDPs, motion planning, and state estimation.
While it is a comprehensive guide, it is recommended for readers with a foundational knowledge in probabilistic methods and estimation.
Aspiring robotics engineers, graduate students, and professionals in related fields seeking to deepen their expertise.
Yes, it includes numerous real-world examples to facilitate understanding and application of the concepts.
Absolutely! The clear explanations and structured format make it a great resource for independent learning.