Applied Linear Algebra Robot by School Stem (12 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condition: Neu. Neuware.

Condition: New. Print on Demand.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. This book guide readers through the planning, construction, testing, and future development of a linear-algebra-driven autonomous mobile inspection robot. Students learn how to transform an engineering idea into requirements, calculations, mechanical layout, sensor placement, power planning, firmware structure, and safety procedures. The capstone project then moves into real prototype construction, where wheel alignment, motor mounting, encoder direction, IMU orientation, sensor calibration, grounding, and power integrity are treated as essential parts of the mathematical model. The final capstone testing chapter teaches students how to validate a robot systematically through encoder calibration, wheel-distance correction, IMU bias removal, motor response testing, path-following validation, obstacle detection, repeatability measurement, battery endurance testing, data logging, debugging, and final deployment. The closing chapter expands the reader's view toward advanced robotics, showing how the same linear algebra foundations appear in SLAM, machine vision, collaborative robots and future research. Together, these chapters complete the learning journey by showing that applied linear algebra is not only a mathematical subject, but a practical engineering tool for designing, building, testing, troubleshooting and advancing real robotic systems. If you're ready to strengthen your mathematical thinking and connect it directly to robotics and intelligent systems, this is where your journey gains precision and clarity. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Motion begins with math-and this book turns abstract equations into real robotic intelligence. Inside, you'll explore how vectors, matrices, and transformations power everything from robotic arms to autonomous navigation. This is not just theory-it's a structured pathway that connects linear algebra directly to real-world robot systems. Each concept is carefully unfolded with clarity, helping you visualize motion, orientation, and control in multi-dimensional space without feeling overwhelmed. From coordinate frames and matrix operations to transformations used in kinematics and sensor fusion, this guide builds your understanding step by step. Whether you're analyzing robot movement, optimizing control systems, or preparing for advanced robotics studies, the content is crafted to make complex ideas feel intuitive and applicable. Volume 1 covers the essential mathematical foundation required to understand how robots describe motion, space, direction, orientation, transformation, system behavior, and machine intelligence. This volume focuses on the core language of robotic mathematics: vectors, coordinate frames, matrices, linear systems, transformations, rotation mathematics, eigenvalues, modes, vector spaces, and bases. If you're ready to strengthen your mathematical thinking and connect it directly to robotics and intelligent systems, this is where your journey gains precision and clarity. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. This book Covers from foundational linear algebra into practical robot modeling, estimation, control, sensing, simulation, CAD-based design, numerical reliability, and industrial robotics logic. This volume shows how mathematical tools become real engineering methods for building, analyzing, testing, and improving robot systems. The Volume 2 includes two dedicated software-focused chapters covering mathematical simulation workflow and CAD-based robot modeling. These chapters show how engineers test equations before hardware construction, simulate motion, validate matrix models, design robot geometry, place sensors, check center of mass, and connect digital design with real machine behavior. The volume also teaches numerical robustness, helping readers understand floating-point error, singularity, drift, scaling, matrix inversion risk, and simulation-to-hardware mismatch. The final technical chapter applies linear algebra to industrial robot logic, including conveyor tracking, tool-frame correction, camera-based position adjustment, safety zones, fixture alignment, repeatability, and production calibration. Together, this guide prepare readers for real-world robotics implementation by connecting estimation, motion modeling, control, sensing, software tools, mechanical design, numerical reliability, and industrial automation practice. If you're ready to strengthen your mathematical thinking and connect it directly to robotics and intelligent systems, this is where your journey gains precision and clarity. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.