9798196316548 - applied linear algebra for robot systems volume 3: mathematics for robotics, automation and intelligent machines (foundation on robotics : mathematics, physics & programming for robotics) de school, stem (4 resultados)
Idioma: Inglés
Editorial: Independently Published, 2026
Serie: Libro 3 de 14 - Foundation on Robotics : Mathematics, Physics & Programming for Robotics
- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 21,44
Envío por EUR 5,88Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Editorial: Amazon Digital Services LLC - Kdp Mai 2026, 2026
Serie: Libro 3 de 14 - Foundation on Robotics : Mathematics, Physics & Programming for Robotics
- Tapa blanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 29,00
Envío por EUR 62,91Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - 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.
Idioma: Inglés
Editorial: Independently published, 2026
Serie: Libro 3 de 14 - Foundation on Robotics : Mathematics, Physics & Programming for Robotics
- Tapa blanda
- Impresión bajo demanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 21,69
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.
Idioma: Inglés
Editorial: Independently Published, 2026
Serie: Libro 3 de 14 - Foundation on Robotics : Mathematics, Physics & Programming for Robotics
- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 25,33
Envío por EUR 43,35Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: 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.
