Robot Motion Planning and Control: 229 (Lecture Notes in Control and Information Sciences, 229) - Image 1

£112.42

Springer Robot Motion Planning and Control: 229 (Lecture Notes in Control and Information Sciences, 229)

Name: Robot Motion Planning and Control: 229 (Lecture Notes in Control and Information Sciences, 229)
Brand: Springer
Price: 118.27 GBP
Availability: InStock

Management

Price History & Forecast

Last 38 days • 38 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 38 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £118 (22 days, 57.9%)

Price range: £112 - £118

Price levels: 2 different prices over 38 days

Description

How can a robot decide what motions to perform in order to achieve tasks in the physical world? Robot motion planning encompasses several different disciplines, most notably robotics, computer science, control theory and mathematics. This volume presents an interdisciplinary account of recent developments in the field. Topics covered include: combining geometric algorithms and control techniques to account for the nonholonomic constraints of most mobile robots; the mathematical machinery necessary for understanding nonholonomic systems; applying optimal techniques to compute optimal paths; feedback control for nonholonomic mobile robots; probabilistic algorithms and new motion planning approaches; and a survey of recent techniques for dealing with collision detection.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3540762191
Category: Books > Subjects > Business, Finance & Law > Management
Domain: Amazon UK
Release Date: 13 November 1997
Listed Since: 20 December 2006

Barcode

No barcode data available

Springer Robot Motion Planning and Control: 229 (Lecture Notes in Control and Information Sciences, 229)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Springer Robot Motion Planning - Engineering and Computer Science

Optimization of Motion Planning and Control for Automatic Machines, Robots and Multibody Systems

Springer Dynamics of Robots with Contact Tasks - Vol 26

Robotics: Modelling, Planning and Control (Advanced Textbooks in Control and Signal Processing)

Robotics: Modelling, Planning and Control (Advanced Textbooks in Control and Signal Processing)

Springer - Autonomous Robots: Modeling, Path Planning, and Control

Principles of Robot Motion – Theory, Algorithms and Implementation (OIP)

Mobile Robots in Rough Terrain: Estimation, Motion Planning, and Control with Application to Planetary Rovers: 12 (Springer Tracts in Advanced Robotics, 12)

Advances in Robot Kinematics and Computational Geometry

Multibody System Dynamics, Robotics and Control

Springer Automatic Control, Robotics, and Information Processing 296

Automatic Control, Robotics, and Information Processing: 296 (Studies in Systems, Decision and Control, 296)

Sensing, Intelligence, Motion: How Robots and Humans Move in an Unstructured World

Intelligent Planning for Mobile Robotics: Algorithmic Approaches (Advances in Computational Intelligence and Robotics)

Practical Motion Planning in Robotics: Current Approaches and Future Directions

Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication, and Swarming

Theory of Robot Control (Communications and Control Engineering)

Feedback Control of Dynamic Bipedal Robot Locomotion: 01 (Automation and Control Engineering)

Robot Learning: 233 (The Springer International Series in Engineering and Computer Science, 233)

Neural Networks in Robotics: 202 (The Springer International Series in Engineering and Computer Science, 202)

Neural Networks in Robotics: 202 (The Springer International Series in Engineering and Computer Science, 202)

Approaches to Probabilistic Model Learning for Mobile Manipulation Robots: 89 (Springer Tracts in Advanced Robotics, 89)

Trajectory Planning for Automatic Machines and Robots

Springer Intelligent Optimal Adaptive Control for Mechatronics