{"product_id":"artificial-intelligence-for-robotics-machine-learning-computer-vision-and-autonomous-decision-making-for-intelligent-machines-9798259136724","title":"Artificial Intelligence for Robotics: Machine Learning, Computer Vision, and Autonomous Decision-Making for Intelligent Machines","description":"\u003cp\u003e • Author(s): Ernest J. Erickson\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Languages - Python\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eRobotics has changed. The textbooks haven't.\u003c\/p\u003e\u003cp\u003eClassical robotics books ignore deep learning. Deep learning books ignore embodiment and safety. You're left stitching together fifteen specialized texts - and still missing the integration.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eThis book is the fix.\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003eArtificial Intelligence for Robotics\u003c\/p\u003e\u003cp\u003eThe complete discipline in one volume\u003c\/p\u003e\u003cp\u003e400+ pages. 10 chapters. 30 figures. One unified engineering framework - built around \"Aria,\" an autonomous warehouse robot whose design thread runs through every chapter.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat you'll master: \u003c\/b\u003e\u003c\/p\u003e- Sensors \u0026amp; perception - calibration, fusion, computer vision, SLAM\u003cbr\u003e- Learning - deep learning, reinforcement learning, sim-to-real transfer\u003cbr\u003e- Probabilistic reasoning - Kalman filters, POMDPs, uncertainty quantification\u003cbr\u003e- Planning \u0026amp; control - A*, RRT*, MPC, behavior trees, motion planning\u003cbr\u003e- Manipulation - grasping, dexterous control, diffusion policies, VLAs\u003cbr\u003e- Foundation models - RT-2, OpenVLA, LLM-based task planning, grounding\u003cbr\u003e- Safety \u0026amp; deployment - ISO 21448, assurance cases, MLOps, fleet management\u003cp\u003ePlus: 6 appendices, 50+ worked examples, 10 lab exercises, 250-entry glossary.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhy this book, why now?\u003c\/b\u003e\u003c\/p\u003e- Current as of 2026 - covers the EU AI Act, UL 4600, latest VLAs\u003cbr\u003e- Integrated - classical and learning-based methods, side by side\u003cbr\u003e- Production-oriented - every chapter ends with deployment considerations\u003cbr\u003e- Mathematically honest - derivations included, not hand-waved\u003cp\u003e\u003cb\u003eWho it's for: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eGraduate students. Practicing engineers. ML researchers moving into physical systems. Technical leaders shipping autonomy into the real world.\u003c\/p\u003e\u003cp\u003eThe field is moving faster than it ever has.\u003c\/p\u003e\u003cp\u003eEngineers who understand integration will build the robots of 2030. Engineers who only know algorithms will watch from the sidelines.\u003c\/p\u003e\u003cp\u003e→ Order your copy today.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47883209769111,"sku":"9798259136724","price":4311.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798259136724.webp?v=1781100274","url":"https:\/\/atlanticbooks.com\/products\/artificial-intelligence-for-robotics-machine-learning-computer-vision-and-autonomous-decision-making-for-intelligent-machines-9798259136724","provider":"Atlantic Books","version":"1.0","type":"link"}