Steven M. LaValle is Associate Professor of Computer Science at the University of Illinois, Urbana-Champaign. He has worked in motion planning and robotics for over a decade and is a leading researcher who has published dozens of articles in the field. He is the main developer of the Rapidly-exploring Random Tree (RRT) algorithm, which has been used in numerous research labs and industrial products around the world. He has taught material on which the book is based at Stanford University, Iowa State University, the Tec de Monterrey, and the University of Illinois.
7 Ebooks par Steven M. LaValle
Steven M. LaValle & Ming Lin: Algorithmic Foundations of Robotics XIV
This proceedings book helps bring insights from this array of technical sub-topics together, as advanced robot algorithms draw on the combined expertise of many fields—including control theory, com …
PDF
Anglais
€287.83
Pieter Abbeel & Hugh Durrant-Whyte: Robotics
Papers from a flagship conference reflect the latest developments in the field, including work in such rapidly advancing areas as human-robot interaction and formal methods.Robotics: Science and …
PDF
Anglais
DRM
€190.19
Steven M. LaValle & Jason M. O’Kane: Algorithmic Foundations of Robotics XV
This book includes significant recent research on robotic algorithms. It has been written by leading experts in the field. The 15th Workshop on the Algorithmic Foundations of Robotics (WAFR) was held …
PDF
Anglais
€287.83
