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New Directions in Algorithmic and Computational Robotics
A. K. Peters (Boston: 2001)

Bruce Randall Donald
Kevin Lynch
Daniela Rus

Foreword

Robot algorithms are abstractions of computational processes that control or reason about motion and perception in the physical world. The computation may be implemented in software, hard-wired electronics, biomolecular mechanisms, or purely mechanical devices. Because actions in the physical world are subject to physical laws and geometric constraints, the design and analysis of robot algorithms raises a unique combination of questions in control theory, computational and differential geometry, and computer science. Algorithms serve as a unifying theme in the multi-disciplinary field of robotics.

The Fourth International Workshop on the Algorithmic Foundations of Robotics (WAFR) brought together a group of about sixty researchers to discuss recent trends and important future directions of research on the algorithmic foundations of robotics. Held at Dartmouth College on March 16-18, 2000, the workshop was chaired by Bruce Randall Donald (Dartmouth), Kevin Lynch (Northwestern), and Daniela Rus (Dartmouth). The workshop consisted of six invited talks and twenty-four contributed presentations in a single track. Each paper was rigorously refereed by the program chairs plus at least three members of the program committee. The program committee consisted of the conference chairs plus Pankaj Agarwal (Duke), Srinivas Akella (Rensselaer Polytechnic Institute), Nancy Amato (Texas A&M), Antonio Bicchi (University of Pisa), Kamal Kant Gupta (Simon Fraser), Leslie Kaelbling (MIT), Makoto Kaneko (University of Hiroshima), David Kriegman (UIUC), Steve LaValle (Iowa State), Dinesh Manocha (UNC), Jim Ostrowski (University of Pennsylvania), John Reif (Duke), and Elisha Sacks (Purdue).

Topics reported at WAFR 2000 included geometric algorithms, minimalist and underactuated robotics, robot controllability, manufacturing and assembly, holonomic and nonholonomic motion planning, manipulation planning, sensor-based planning, task-level planning, grasping, navigation, biomimetics, medical robotics, self-assembly, modular and reconfigurable robots, and distributed manipulation. This book contains the proceedings of WAFR 2000. A number of these papers are clearly destined to be landmarks in the field. For example, the paper ``Meso-Scale Self-Assembly'' by Gracias, Choi, Weck, and Whitesides was voted number three in the ``Top Five Must Read Papers Recommended by the Carnegie Mellon School of Computer Science Faculty'' for the year 2000. It is worth noting that numbers one and two were each written more than 40 years ago, and ``Meso-Scale Self-Assembly'' was voted ahead of number four, Judge Jackson's findings of fact against Microsoft. This demonstrates the value of interdisciplinary interaction at workshops such as WAFR.

We are very grateful to Dartmouth College and Sandia National Laboratories for their generous financial support of WAFR. We would like to thank all participants for their contributions. We thank Dartmouth Project Assistant David Bellows for all his assistance in organizing WAFR and in typesetting the book and Fred Henle for his advice and asstance with LATEX and image enhancement.

Bruce Randall Donald

Kevin Lynch

Daniela Rus


June, 2000

Participants

Pankaj Agarwal Duke University
Srinivas Akella Rensselaer Polytechnic Institute
Nancy Amato Texas A&M
Boris Aronov Polytechnic University
Devin Balkcom Carnegie Mellon University
Matthew Berkemeier Utah State University
Antonio Bicchi University of Pisa
Amy Briggs Middlebury College
Herve Bronimann Polytechnic University
Joel Burdick California Institute of Technology
Zack Butler Carnegie Mellon University
Ming C. Lin University of North Carolina Chapel Hill
Greg Chirikjian Johns Hopkins University
Anne Collins Duke University
Bruce Randall Donald Dartmouth
Michael Erdmann Carnegie Mellon University
Robert Ghrist Georgia Institute of Tech.
Ken Goldberg University of California Berkeley
W. Eric L. Grimson MIT
Kamal Gupta Simon Fraser University
John H. Reif Duke University
Dan Halperin Tel Aviv University
Li Han Texas A&M
John Hollerbach University of Utah
David Hsu Stanford University
Wesley Huang Rensselaer Polytechnic Institute
Seth Hutchinson University of Illinois
Leonidas J. Guibas Stanford University
Xuerong Ji University of North Carolina Charlotte
Satoshi Kagami University of Tokyo
Fumio Kanehiro University of Tokyo
Makoto Kaneko Hiroshima University
Lydia Kavraki Rice University
Eric Klavins University of Michigan
Daniel Koditschek University of Michigan
James Kuffner University of Tokyo
Steven LaValle Iowa State University
Florent Lamiraux LAAS-CNRS
Jean-Claude Latombe Stanford University
Jean-Paul Laumond LAAS-CNRS
Kevin Lynch Northwestern University
Dinesh Manocha University of North Carolina Chapel Hill
Matt Mason Carnegie Mellon University

William Messner Carnegie Mellon University
Mark Moll Carnegie Mellon University
An Nguyen Stanford University
Jim Ostrowski University of Pennsylvania
Elon Rimon Technion University Israel
Alfred Rizzi Carnegie Mellon University
Daniela Rus Dartmouth
Elisha Sacks Purdue University
Daniel Scharstein Middlebury College
Edward Scheinerman Johns Hopkins University
A. Frank van der Stappen Utrecht University
Ileana Streinu Smith
Robert Sun Duke University
George Whitesides Harvard
Jing Xiao University of North Carolina Charlotte
Mark Yim Xerox PARC
Tao (Mike) Zhang University of California Berkeley
Li Zhang Stanford University
Yan Zhuang University of California Berkeley

About this document ...

New Directions in Algorithmic and Computational Robotics
A. K. Peters (Boston: 2000)

This document was generated using the LaTeX2HTML translator Version 98.1p1 release (March 2nd, 1998)

Copyright © 1993, 1994, 1995, 1996, 1997, Nikos Drakos, Computer Based Learning Unit, University of Leeds.

The command line arguments were:
latex2html -local_icons -white -t WAFR 2000 -split 0 preface4.

The translation was initiated by Bruce Randall Donald on 2000-08-18


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Bruce Randall Donald
2000-08-18