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In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Anbieter: Rarewaves USA, OSWEGO, IL, USA
Hardback. Zustand: New. This book shows how to plan trajectories (i.e. time-dependent paths) for autonomous robots using a dynamic model within the A* framework.Drawing from optimal control's model predictive control framework, the book develops a paradigm called Sampling Based Model Predictive Optimization (SBMPO), which generates graph trees through input sampling of a dynamic model, enabling A*-type algorithms to find optimal trajectories. The book covers various robotic platforms and tasks, including manipulators lifting heavy loads, mobile robots navigating steep hills, energy-efficient skid-steered movements, thermally informed space exploration planning, and climbing robots in obstacle-rich environments. It also explores methods for updating dynamic models for robust operation and provides sample code for applying SBMPO to additional problems.This resource is aimed at researchers, engineers, and advanced students in motion planning and control for robotic and autonomous systems.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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In den WarenkorbZustand: New. In.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New.
Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
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In den WarenkorbHardback. Zustand: New. This book shows how to plan trajectories (i.e. time-dependent paths) for autonomous robots using a dynamic model within the A* framework.Drawing from optimal control's model predictive control framework, the book develops a paradigm called Sampling Based Model Predictive Optimization (SBMPO), which generates graph trees through input sampling of a dynamic model, enabling A*-type algorithms to find optimal trajectories. The book covers various robotic platforms and tasks, including manipulators lifting heavy loads, mobile robots navigating steep hills, energy-efficient skid-steered movements, thermally informed space exploration planning, and climbing robots in obstacle-rich environments. It also explores methods for updating dynamic models for robust operation and provides sample code for applying SBMPO to additional problems.This resource is aimed at researchers, engineers, and advanced students in motion planning and control for robotic and autonomous systems.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 152 pages. 8.50x5.43x8.50 inches. In Stock.
Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Anbieter: Rarewaves USA United, OSWEGO, IL, USA
EUR 88,73
Anzahl: Mehr als 20 verfügbar
In den WarenkorbHardback. Zustand: New. This book shows how to plan trajectories (i.e. time-dependent paths) for autonomous robots using a dynamic model within the A* framework.Drawing from optimal control's model predictive control framework, the book develops a paradigm called Sampling Based Model Predictive Optimization (SBMPO), which generates graph trees through input sampling of a dynamic model, enabling A*-type algorithms to find optimal trajectories. The book covers various robotic platforms and tasks, including manipulators lifting heavy loads, mobile robots navigating steep hills, energy-efficient skid-steered movements, thermally informed space exploration planning, and climbing robots in obstacle-rich environments. It also explores methods for updating dynamic models for robust operation and provides sample code for applying SBMPO to additional problems.This resource is aimed at researchers, engineers, and advanced students in motion planning and control for robotic and autonomous systems.
Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 97,50
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In den WarenkorbHardback. Zustand: New. This book shows how to plan trajectories (i.e. time-dependent paths) for autonomous robots using a dynamic model within the A* framework.Drawing from optimal control's model predictive control framework, the book develops a paradigm called Sampling Based Model Predictive Optimization (SBMPO), which generates graph trees through input sampling of a dynamic model, enabling A*-type algorithms to find optimal trajectories. The book covers various robotic platforms and tasks, including manipulators lifting heavy loads, mobile robots navigating steep hills, energy-efficient skid-steered movements, thermally informed space exploration planning, and climbing robots in obstacle-rich environments. It also explores methods for updating dynamic models for robust operation and provides sample code for applying SBMPO to additional problems.This resource is aimed at researchers, engineers, and advanced students in motion planning and control for robotic and autonomous systems.
Anbieter: moluna, Greven, Deutschland
EUR 61,20
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Camilo Ordonez received a B.S. in Electronics Engineering from Pontificia Bolivariana University in 2003. He obtained his M.S. and Ph.D. degrees in Mechanical Engineering from Florida State University in 2006 and 2010, respectively. Currently, he .