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Robotics Research

The 18th International Symposium ISRR

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Nancy M. Amato

    1. Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, USA

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  2. Greg Hager

    1. Department of Computer Science, Johns Hopkins University, Baltimore, USA

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  3. Shawna Thomas

    1. Department of Computer Science and Engineering, Texas A&M University, College Station, USA

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  4. Miguel Torres-Torriti

    1. Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

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  • Presents top class research in Robotics Research
  • Edited outcome of the 18th International Symposium on Robotics Research which took place in Puerto Varas, Chile at December 11 -14, 2017
  • Includes contributions form leading researchers and pioneers from academia, government, and industry discussed the state of the art in robotics, promising new avenues for future research

Part of the book series: Springer Proceedings in Advanced Robotics (SPAR, volume 10)

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About this book

ISRR, the "International Symposium on Robotics Research", is one of robotics pioneering Symposia, which has established over the past two decades some of the field's most fundamental and lasting contributions. This book presents the results of the eighteenth edition of "Robotics Research" ISRR17, offering a collection of a broad range of topics in robotics. This symposium took place in Puerto Varas, Chile from December 11th to December 14th, 2017. The content of the contributions provides a wide coverage of the current state of robotics research, the advances and challenges in its theoretical foundation and technology basis, and the developments in its traditional and new emerging areas of applications. The diversity, novelty, and span of the work unfolding in these areas reveal the field's increased maturity and expanded scope and define the state of the art of robotics and its future direction.

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Table of contents (70 papers)

  1. Front Matter

    Pages i-xxi
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  2. Blue Sky Ideas

    1. Front Matter

      Pages 1-1
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    2. Controlling Homogeneous Microrobot Swarms In Vivo Using Rotating Magnetic Dipole Fields

      • Jake J. Abbott, Henry C. Fu
      Pages 3-8

    3. DART: Diversity-Enhanced Autonomy in Robot Teams

      • Nora Ayanian
      Pages 9-16

    4. Perspectives on Deep Multimodel Robot Learning

      • Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang, Johan Vertens et al.
      Pages 17-24

    5. Task Representation in Robots for Robust Coupling of Perception to Action in Dynamic Scenes

      • Darius Burschka
      Pages 25-31

    6. A Bayesian Active Learning Approach to Adaptive Motion Planning

      • Sanjiban Choudhury, Siddhartha S. Srinivasa
      Pages 33-40

    7. Materials That Make Robots Smart

      • Nikolaus Correll, Christoffer Heckman
      Pages 41-48

    8. Pragmatic-Pedagogic Value Alignment

      • Jaime F. Fisac, Monica A. Gates, Jessica B. Hamrick, Chang Liu, Dylan Hadfield-Menell, Malayandi Palaniappan et al.
      Pages 49-57

    9. The Economic Case for Cloud-Based Computation for Robot Motion Planning

      • Jeffrey Ichnowski, Jan Prins, Ron Alterovitz
      Pages 59-65

    10. Autonomous Agents in the Wild: Human Interaction Challenges

      • Laura Major, Caroline Harriott
      Pages 67-74

    11. How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics

      • Anirudha Majumdar, Marco Pavone
      Pages 75-84

    12. Human-Assisted Humanoid Robot Control

      • Jaeheung Park, Yisoo Lee, Mingon Kim, Soonwook Hwang, Jaesug Jung, Junhyung Kim
      Pages 85-90

    13. “Should Robots Feel Pain?”—Towards a Computational Theory of Pain in Autonomous Systems

      • Trevor Richardson, Indranil Sur, Heni Ben Amor
      Pages 91-99

    14. Large Sensors with Adaptive Shape Realised by Self-stabilised Compact Groups of Micro Aerial Vehicles

      • Martin Saska
      Pages 101-107

    15. Self-directed Lifelong Learning for Robot Vision

      • Tanner Schmidt, Dieter Fox
      Pages 109-114

    16. Deep Coverage: Motion Synthesis in the Data-Driven Era

      • David A. Surovik, Kostas E. Bekris
      Pages 115-123

  3. Control

    1. Front Matter

      Pages 125-125
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    2. Multi-objective Optimal Control for Proactive Decision Making with Temporal Logic Models

      • Sandeep P. Chinchali, Scott C. Livingston, Marco Pavone
      Pages 127-144

    3. Towards Reactive Control of Transitional Legged Robot Maneuvers

      • Jeffrey Duperret, Daniel E. Koditschek
      Pages 145-162
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Editors and Affiliations

  • Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, USA

    Nancy M. Amato

  • Department of Computer Science, Johns Hopkins University, Baltimore, USA

    Greg Hager

  • Department of Computer Science and Engineering, Texas A&M University, College Station, USA

    Shawna Thomas

  • Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

    Miguel Torres-Torriti

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