Rohith Bhat (9 results)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: New
US$ 32.35
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Condition: New.
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
US$ 36.54
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
US$ 36.58
US$ 19.88 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 39.33
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Condition: As New. Unread book in perfect condition.
- Softcover
- Print on Demand
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
US$ 35.00
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Condition: New. Print on Demand.
- Softcover
- Print on Demand
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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US$ 38.84
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
US$ 39.74
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Paperback. Condition: new. Paperback. The field of autonomous robotics is evolving rapidly, driven by advancements in artificial intelligence (AI), machine learning, and computational frameworks. At the heart of this evolution lies the concept of intelligent agents-software entities capable of perceiving their environment, reaso…ning about it, and making decisions to achieve specific goals. This book, Practical Agentic AI for Autonomous Robots using Python, aims to bridge the gap between theoretical concepts and real-world implementations by providing hands-on examples, Python-based simulations, and practical insights into building AI agents for robots that can think, learn, and act autonomously. Designed for students, engineers, and researchers, this book takes a step-by-step approach to constructing agent-based robotic systems, focusing on agent architectures, sensory integration, decision-making strategies, and multi-agent coordination. Through Python code and visualizations, readers will learn how to develop reactive, deliberative, and hybrid agents, implement real-time sensor processing, explore SLAM techniques, and apply AI frameworks like TensorFlow and PyTorch. Whether you're building a simple robot or experimenting with decentralized swarm intelligence, this book serves as a practical guide to creating robust, intelligent, and adaptable autonomous systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
- Print on Demand
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
Contact seller5-star sellerCondition: New
US$ 36.60
US$ 5.51 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
US$ 41.61
US$ 49.03 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. The field of autonomous robotics is evolving rapidly, driven by advancements in artificial intelligence (AI), machine learning, and computational frameworks. At the heart of this evolution lies the concept of intelligent agents-software entities capable of perceiving their environment, reaso…ning about it, and making decisions to achieve specific goals. This book, Practical Agentic AI for Autonomous Robots using Python, aims to bridge the gap between theoretical concepts and real-world implementations by providing hands-on examples, Python-based simulations, and practical insights into building AI agents for robots that can think, learn, and act autonomously. Designed for students, engineers, and researchers, this book takes a step-by-step approach to constructing agent-based robotic systems, focusing on agent architectures, sensory integration, decision-making strategies, and multi-agent coordination. Through Python code and visualizations, readers will learn how to develop reactive, deliberative, and hybrid agents, implement real-time sensor processing, explore SLAM techniques, and apply AI frameworks like TensorFlow and PyTorch. Whether you're building a simple robot or experimenting with decentralized swarm intelligence, this book serves as a practical guide to creating robust, intelligent, and adaptable autonomous systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
