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£51.75

Chapman and Hall/CRC Trajectory Planning Using Dynamics and Power Models: A Heuristics Based Approach

Name: Trajectory Planning Using Dynamics and Power Models: A Heuristics Based Approach
Brand: Chapman and Hall/CRC
Price: 51.75 GBP
Availability: InStock

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Description

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.

Product Specifications

Brand: Chapman and Hall/CRC
Format: Hardcover
ASIN: 1041034407
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 10 July 2025
Listed Since: 18 February 2025

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Chapman and Hall/CRC Trajectory Planning Using Dynamics and Power Models: A Heuristics Based Approach

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