This book is an interactive guide that blends hands-on experimentation with modern learning approaches. Instead of traditional instruction, the book presents a series of quests―practical challenges that encourage readers to explore, simulate, and build real-world mechatronic systems. From JavaScript-based simulations to sensor integration and video feedback control, each chapter builds technical skills through discovery and problem-solving. Alongside the technical content, the book reflects on how learning itself is evolving in the age of AI, emphasizing creativity, adaptability, and achievement over rote memorization. Supported by a companion website full of code and examples, this book is ideal for students, educators, and enthusiasts eager to learn by doing.
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Emeritus Professor John Billingsley has recently retired from Chair of mechatronic engineering at the University of Southern Queensland in Toowoomba, where he also supervised Technology Research in a Centre for Engineering in Agriculture. Throughout his career, he has made significant contributions to the development of mechatronic systems, starting long ago with the control design of a commercial autopilot. Industrial consultancies include pioneering work in laser phototypesetting, acoustic telescopes, and wall-climbing robots. He is the originator and for some thirty years has been International Chairman of the annual "Mechatronics and Machine Vision in Practice" conference series and has been recognized for his achievements with an achievement medal from the Institution of Engineering and Technology, London, and Erskine Fellowship from the University of Canterbury, NZ. His innovative machines have been exhibited in notable institutions such as the Palais de la Découverte in Paris, the Exploratorium in San Francisco, and the Powerhouse Museum in Sydney.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. This book is an interactive guide that blends hands-on experimentation with modern learning approaches. Instead of traditional instruction, the book presents a series of questspractical challenges that encourage readers to explore, simulate, and build real-world mechatronic systems. From JavaScript-based simulations to sensor integration and video feedback control, each chapter builds technical skills through discovery and problem-solving. Alongside the technical content, the book reflects on how learning itself is evolving in the age of AI, emphasizing creativity, adaptability, and achievement over rote memorization. Supported by a companion website full of code and examples, this book is ideal for students, educators, and enthusiasts eager to learn by doing. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783032112170
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This bookis an interactive guide that blends hands-on experimentation with modern learning approaches. Instead of traditional instruction, the book presents a series of quests practical challenges that encourage readers to explore, simulate, and build real-world mechatronic systems. From JavaScript-based simulations to sensor integration and video feedback control, each chapter builds technical skills through discovery and problem-solving. Alongside the technical content, the book reflects on how learning itself is evolving in the age of AI, emphasizing creativity, adaptability, and achievement over rote memorization. Supported by a companion website full of code and examples, this book is ideal for students, educators, and enthusiasts eager to learn by doing. 183 pp. Englisch. N° de réf. du vendeur 9783032112170
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