Nonparametric Bayesian Learning for and similar items
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
$42.06
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View full item details »
Shipping options
Offer policy
OBO - Seller accepts offers on this item.
Details
Return policy
Full refund available within 30 days
Purchase protection
Payment options
PayPal accepted
PayPal Credit accepted
Venmo accepted
PayPal, MasterCard, Visa, Discover, and American Express accepted
Maestro accepted
Amazon Pay accepted
Nuvei accepted
Item traits
Category: | |
---|---|
Quantity Available: |
Only one in stock, order soon |
Condition: |
Very Good |
Author: |
Shuai Li/Juan Rojas/Zhihao Xu/Hongmin Wu/Xuefeng Zhou |
Book Title: | |
Language: |
English |
Topic: |
Electrical/Robotics/Probability & Statistics / Bayesian Analysis |
Format: |
Hardcover |
Publisher: |
Springer |
Genre: |
Mathematics/Technology & Engineering |
Publication Year: |
2020 |
Type: |
Does not apply |
Illustrator: |
Yes |
Item Length: |
9.3 in |
Item Weight: |
16 Oz |
Item Width: |
6.1 in |
Number of Pages: |
Xvii, 137 Pages |
Publication Name: |
Does not apply |
ISBN-13: |
9789811562624 |
Listing details
Seller policies: | |
---|---|
Shipping discount: |
Shipping weights of all items added together for savings. |
Posted for sale: |
More than a week ago |
Item number: |
1725260561 |
Item description
Explore cutting-edge robotic intelligence with Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection! This advanced resource delves into machine learning, probabilistic modeling, and multimodal introspection, essential for AI-driven robotics and human-robot collaboration.
? Covers nonparametric Bayesian methods for adaptive robotic learning
? Focuses on multimodal introspection ? sensory fusion and decision-making
? Applications in collaborative robotics ? Enhancing autonomy and interaction
? Ideal for researchers, engineers, and AI enthusiasts in robotics and machine learning
? A must-have reference for cutting-edge developments in AI-powered robots
Perfect for professionals and students in robotics, AI, and probabilistic learning, this book offers insights into next-generation autonomous systems. Get your copy today and stay ahead in the field of intelligent robotics! ?
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