{"product_id":"tensor-methods-for-robotics-a-practical-guide-to-multidimensional-modeling-control-and-machine-intelligence-9798196273346","title":"Tensor Methods for Robotics: A Practical Guide to Multidimensional Modeling, Control, and Machine Intelligence","description":"\u003cp\u003e • Author(s): Mir Hossain\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Robotics\u003c\/p\u003e\u003cp\u003eMaster the mathematics powering modern robotics systems. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eFrom autonomous vehicles and robotic manipulation to reinforcement learning and sensor fusion, today's robotics systems depend on tensors to process high-dimensional data efficiently and intelligently. Tensor Methods for Robotics delivers a practical, engineering-focused guide to applying tensor mathematics in real robotic systems. \u003cp\u003e\u003c\/p\u003eDesigned for graduate students, robotics engineers, AI researchers, and advanced developers, this book bridges the gap between classical robotics and modern machine learning by showing how tensors unify perception, control, kinematics, dynamics, and deep learning. \u003cp\u003e\u003c\/p\u003eInside this comprehensive guide, you will learn: \u003cp\u003e\u003c\/p\u003eTensor fundamentals for robotics and machine intelligence\u003cbr\u003eCoordinate frames, SE(3), Lie groups, and tensor-based kinematics\u003cbr\u003eBatched Jacobians, dynamics, and motion planning\u003cbr\u003eTensor methods for computer vision and sensor fusion\u003cbr\u003eProbabilistic tensors, covariance propagation, and uncertainty modeling\u003cbr\u003eDeep learning architectures for robotics applications\u003cbr\u003eTensor decompositions including CP, Tucker, and Tensor Train\u003cbr\u003eReinforcement learning with high-dimensional tensor representations\u003cbr\u003eMulti-robot systems and soft robotics modeling\u003cbr\u003ePractical Python implementations using NumPy and PyTorch\u003cbr\u003eReal-world robotics case studies and implementation workflows \u003cp\u003e\u003c\/p\u003eThis book emphasizes practical engineering intuition alongside rigorous mathematics. Every chapter includes: \u003cp\u003e\u003c\/p\u003eWorked examples\u003cbr\u003eImplementation boxes with runnable Python code\u003cbr\u003eCommon pitfalls\u003cbr\u003eMini projects\u003cbr\u003eSelf-tests and exercises with solutions \u003cp\u003e\u003c\/p\u003eWhether you are building robotic perception pipelines, training autonomous agents, optimizing control systems, or researching next-generation AI robotics, this book provides the tensor tools needed to work effectively with modern multidimensional robotics data. \u003cp\u003e\u003c\/p\u003eIdeal for: \u003cp\u003e\u003c\/p\u003eRobotics engineers\u003cbr\u003eGraduate students\u003cbr\u003eAI and machine learning practitioners\u003cbr\u003eAutonomous systems developers\u003cbr\u003eComputer vision researchers\u003cbr\u003eControl systems engineers\u003cbr\u003eAdvanced STEM learners \u003cp\u003e\u003c\/p\u003eBuild robotics systems that scale beyond vectors and matrices - and start thinking in tensors. \u003cp\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47892864598167,"sku":"9798196273346","price":2898.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798196273346.webp?v=1781189517","url":"https:\/\/atlanticbooks.com\/products\/tensor-methods-for-robotics-a-practical-guide-to-multidimensional-modeling-control-and-machine-intelligence-9798196273346","provider":"Atlantic Books","version":"1.0","type":"link"}