Spatial Representation and Motion Planning
Book information
Description
This book is devoted to the development of adequate spatial representations for robot motion planning. Drawing upon advanced heuristic techniques from AI and computational geometry, the authors introduce a general model for spatial representation of physical objects. This model is then applied to two key problems in intelligent robotics: collision detection and motion planning. In addition, the application to actual robot arms is kept always in mind, instead of dealing with simplified models. This monograph is built upon Angel del Pobil's PhD thesis which was selected as the winner of the 1992 Award of the Spanish Royal Academy of Doctors.
Similar books
Data Analytics in Professional Soccer: Performance Analysis Based on Spatiotemporal Tracking Data
2018 · PDF
Dynamic Logic. New Trends and Applications: First International Workshop, DALI 2017, Brasilia, Brazil, September 23-24, 2017, Proceedings
2018 · PDF
Reinforcement Learning : With Open AI, TensorFlow and Keras Using Python
2018 · PDF
Oracle Business Intelligence with Machine Learning : Artificial Intelligence Techniques in OBIEE for Actionable BI
2018 · PDF
Build Better Chatbots: A Complete Guide to Getting Started with Chatbots
2018 · PDF
Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python
2017 · PDF
Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making
2017 · PDF
Machine Learning and Cognition in Enterprises: Business Intelligence Transformed
2017 · PDF