Overview

Master the mathematics powering modern robotics systems. From 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. Designed 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. Inside this comprehensive guide, you will learn: Tensor fundamentals for robotics and machine intelligence Coordinate frames, SE(3), Lie groups, and tensor-based kinematics Batched Jacobians, dynamics, and motion planning Tensor methods for computer vision and sensor fusion Probabilistic tensors, covariance propagation, and uncertainty modeling Deep learning architectures for robotics applications Tensor decompositions including CP, Tucker, and Tensor Train Reinforcement learning with high-dimensional tensor representations Multi-robot systems and soft robotics modeling Practical Python implementations using NumPy and PyTorch Real-world robotics case studies and implementation workflows This book emphasizes practical engineering intuition alongside rigorous mathematics. Every chapter includes: Worked examples Implementation boxes with runnable Python code Common pitfalls Mini projects Self-tests and exercises with solutions Whether 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. Ideal for: Robotics engineers Graduate students AI and machine learning practitioners Autonomous systems developers Computer vision researchers Control systems engineers Advanced STEM learners Build robotics systems that scale beyond vectors and matrices - and start thinking in tensors.

Full Product Details

9798196273346

Table of Contents

Reviews

Author Information

Tab Content 6

Countries Available