Name: Trajectory Planning Using Dynamics and Power Models: A Heuristics Based Approach (en Inglés)
Price: 203907.00 COP
Availability: InStock
Author: Camilo Ordonez; Mario Harper; Jonathan T. Boylan; Emmanuel G. Collins Jr.
ISBN: 9781041034407

portada Trajectory Planning Using Dynamics and Power Models: A Heuristics Based Approach (en Inglés)

Trajectory Planning Using Dynamics and Power Models: A Heuristics Based Approach (en Inglés)

Formato

Libro Físico

Editorial

Crc Pr Inc

Autor

Camilo Ordonez; Mario Harper; Jonathan T. Boylan; Emmanuel G. Collins Jr.

Idioma

Inglés

N° páginas

128

Encuadernación

Tapa Dura

ISBN13

9781041034407

Trajectory Planning Using Dynamics and Power Models: A Heuristics Based Approach (en Inglés)

Camilo Ordonez; Mario Harper; Jonathan T. Boylan; Emmanuel G. Collins Jr. (Autor) · Crc Pr Inc · Tapa Dura

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Reseña del libro "Trajectory Planning Using Dynamics and Power Models: A Heuristics Based Approach (en Inglés)"

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.