Skip to main content
  • Book
  • © 2020

Algorithmic Foundations of Robotics XII

Proceedings of the Twelfth Workshop on the Algorithmic Foundations of Robotics

  • Includes significant recent research on robotic algorithms

  • Presents edited outcomes of the 12th International Workshop on the Algorithmic Foundations of Robotics (WAFR), held on December 18–20, 2016, in San Francisco, USA

  • Written by leading experts in the field

Part of the book series: Springer Proceedings in Advanced Robotics (SPAR, volume 13)

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, access via your institution.

Table of contents (58 chapters)

  1. Front Matter

    Pages i-xi
  2. Multiple Start Branch and Prune Filtering Algorithm for Nonconvex Optimization

    • Rangaprasad Arun Srivatsan, Howie Choset
    Pages 1-16
  3. Designing Sparse Reliable Pose-Graph SLAM: A Graph-Theoretic Approach

    • Kasra Khosoussi, Gaurav S. Sukhatme, Shoudong Huang, Gamini Dissanayake
    Pages 17-32
  4. High-Accuracy Preintegration for Visual-Inertial Navigation

    • Kevin Eckenhoff, Patrick Geneva, Guoquan Huang
    Pages 48-63
  5. A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group

    • David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard
    Pages 64-79
  6. Autonomous Visual Rendering using Physical Motion

    • Ahalya Prabhakar, Anastasia Mavrommati, Jarvis Schultz, Todd D. Murphey
    Pages 80-95
  7. Cloud-based Motion Plan Computation for Power-Constrained Robots

    • Jeffrey Ichnowski, Jan Prins, Ron Alterovitz
    Pages 96-111
  8. Combining System Design and Path Planning

    • Laurent Denarie, Kevin Molloy, Marc Vaisset, Thierry Siméon, Juan Cortés
    Pages 112-127
  9. Language-Guided Sampling-based Planning using Temporal Relaxation

    • Francisco Penedo, Cristian-Ioan Vasile, Calin Belta
    Pages 128-143
  10. Generating Plans that Predict Themselves

    • Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths et al.
    Pages 144-159
  11. Sensor-Based Reactive Navigation in Unknown Convex Sphere Worlds

    • Omur Arslan, Daniel E. Koditschek
    Pages 160-175
  12. Approximation Algorithms for Tours of Height-varying View Cones

    • Patrick A. Plonski, Volkan Isler
    Pages 192-207
  13. Competitive Two Team Target Search Game with Communication Symmetry and Asymmetry

    • Michael Otte, Michael Kuhlman, Donald Sofge
    Pages 208-223
  14. Beyond the Planning Potpourri: Reasoning About Label Transformations on Procrustean Graphs

    • Shervin Ghasemlou, Fatemeh Zahra Saberifar, Jason M. O’Kane, Dylan A. Shell
    Pages 224-239
  15. Importance Sampling for Online Planning under Uncertainty

    • Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee
    Pages 240-255
  16. Linearization in Motion Planning under Uncertainty

    • Marcus Hoerger, Hanna Kurniawati, Tirthankar Bandyopadhyay, Alberto Elfes
    Pages 272-287
  17. Motion Planning for Active Data Association and Localization in Non-Gaussian Belief Spaces

    • Saurav Agarwal, Amirhossein Tamjidi, Suman Chakravorty
    Pages 288-303

About this book

This book presents the outcomes of the 12th International Workshop on the Algorithmic Foundations of Robotics (WAFR 2016). WAFR is a prestigious, single-track, biennial international meeting devoted to recent advances in algorithmic problems in robotics. Robot algorithms are an important building block of robotic systems and are used to process inputs from users and sensors, perceive and build models of the environment, plan low-level motions and high-level tasks, control robotic actuators, and coordinate actions across multiple systems. However, developing and analyzing these algorithms raises complex challenges, both theoretical and practical. Advances in the algorithmic foundations of robotics have applications to manufacturing, medicine, distributed robotics, human–robot interaction, intelligent prosthetics, computer animation, computational biology, and many other areas.

 

The 2016 edition of WAFR went back to its roots and was held in San Francisco, California – the city where the very first WAFR was held in 1994. Organized by Pieter Abbeel, Kostas Bekris, Ken Goldberg, and Lauren Miller, WAFR 2016 featured keynote talks by John Canny on “A Guided Tour of Computer Vision, Robotics, Algebra, and HCI,” Erik Demaine on “Replicators, Transformers, and Robot Swarms: Science Fiction through Geometric Algorithms,” Dan Halperin on “From Piano Movers to Piano Printers: Computing and Using Minkowski Sums,” and by Lydia Kavraki on “20 Years of Sampling Robot Motion.” Furthermore, it included an Open Problems Session organized by Ron Alterovitz, Florian Pokorny, and Jur van den Berg. There were 58 paper presentations during the three-day event.

 

The organizers would like to thank the authors for their work and contributions, the reviewers for ensuring the high quality of the meeting, the WAFR Steering Committee led by Nancy Amato as well as WAFR’s fiscal sponsor, the International Federation of Robotics Research (IFRR), led by Oussama Khatib and Henrik Christensen. WAFR 2016 was an enjoyable and memorable event.

Keywords

  • Robotics Progress
  • Algorithmic Foundations of Robotics
  • Design and Analysis of Robot Algorithms
  • Robot Algorithms
  • WAFR Proceedings

Editors and Affiliations

  • Industrial Engineering and Operations Research, University of California, Berkeley, USA

    Ken Goldberg

  • Electrical Engineering and Computer Sciences, University of California, Berkeley, USA

    Pieter Abbeel

  • Rutgers University, Piscataway, USA

    Kostas Bekris

  • University of California, Berkeley, USA

    Lauren Miller

Bibliographic Information

  • Book Title: Algorithmic Foundations of Robotics XII

  • Book Subtitle: Proceedings of the Twelfth Workshop on the Algorithmic Foundations of Robotics

  • Editors: Ken Goldberg, Pieter Abbeel, Kostas Bekris, Lauren Miller

  • Series Title: Springer Proceedings in Advanced Robotics

  • DOI: https://doi.org/10.1007/978-3-030-43089-4

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Hardcover ISBN: 978-3-030-43088-7Published: 07 May 2020

  • Softcover ISBN: 978-3-030-43091-7Published: 07 May 2021

  • eBook ISBN: 978-3-030-43089-4Published: 06 May 2020

  • Series ISSN: 2511-1256

  • Series E-ISSN: 2511-1264

  • Edition Number: 1

  • Number of Pages: XI, 931

  • Number of Illustrations: 2 b/w illustrations

  • Topics: Robotics and Automation, Artificial Intelligence

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access