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Trajectory Planning Using Dynamics and Power Models : A Heuristics Based Approach
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Condition: New.
-
Trajectory Planning Using Dynamics and Power Models : A Heuristics Based Approach
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Condition: As New. Unread book in perfect condition.
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Trajectory Planning Using Dynamics and Power Models : A Heuristics Based Approach
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Trajectory Planning Using Dynamics and Power Models: A Heuristics Based Approach
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Condition: New.
-
Trajectory Planning Using Dynamics and Power Models
Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Hardback. Condition: 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.
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Trajectory Planning Using Dynamics and Power Models : A Heuristics Based Approach
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Trajectory Planning Using Dynamics and Power Models: A Heuristics Based Approach
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Condition: New.
-
Trajectory Planning Using Dynamics and Power Models: A Heuristics Based Approach
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 67.57
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Trajectory Planning Using Dynamics and Power Models: A Heuristics Based Approach
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Condition: New.
-
Trajectory Planning Using Dynamics and Power Models
Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: 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.
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Hardcover. Condition: Brand New. 152 pages. 8.50x5.43x8.50 inches. In Stock.
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Trajectory Planning Using Dynamics and Power Models
Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Hardback. Condition: 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.
-
Trajectory Planning Using Dynamics and Power Models
Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1041034407 ISBN 13: 9781041034407
Hardback. Condition: 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.
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Condition: 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 .
