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The DARPA Robotics Challenge Finals: Humanoid Robots To The Rescue

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Cover of 'The DARPA Robotics Challenge Finals: Humanoid Robots To The Rescue'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 The DARPA Robotics Challenge Finals: Results and Perspectives
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    Chapter 2 Robot System of DRC-HUBO+ and Control Strategy of Team KAIST in DARPA Robotics Challenge Finals
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    Chapter 3 Team IHMC’s Lessons Learned from the DARPA Robotics Challenge: Finding Data in the Rubble
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    Chapter 4 Developing a Robust Disaster Response Robot: CHIMP and the Robotics Challenge
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    Chapter 5 DRC Team NimbRo Rescue: Perception and Control for Centaur-Like Mobile Manipulation Robot Momaro
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    Chapter 6 Team RoboSimian: Semi-autonomous Mobile Manipulation at the 2015 DARPA Robotics Challenge Finals
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    Chapter 7 Director: A User Interface Designed for Robot Operation with Shared Autonomy
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    Chapter 8 Achieving Reliable Humanoid Robot Operations in the DARPA Robotics Challenge: Team WPI-CMU’s Approach
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    Chapter 9 Team DRC-Hubo@UNLV in 2015 DARPA Robotics Challenge Finals
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    Chapter 10 Team SNU’s Control Strategies to Enhancing Robot’s Capability: Lessons from the DARPA Robotics Challenge Finals 2015
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    Chapter 11 Team THOR’s Entry in the DARPA Robotics Challenge Finals 2015
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    Chapter 12 Collaborative Autonomy Between High-Level Behaviors and Human Operators for Control of Complex Tasks with Different Humanoid Robots
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    Chapter 13 WALK-MAN Humanoid Platform
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    Chapter 14 An Architecture for Human-Guided Autonomy: Team TROOPER at the DARPA Robotics Challenge Finals
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    Chapter 15 Team VALOR’s ESCHER: A Novel Electromechanical Biped for the DARPA Robotics Challenge
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    Chapter 16 Perspectives on Human-Robot Team Performance from an Evaluation of the DARPA Robotics Challenge
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    Chapter 17 What Happened at the DARPA Robotics Challenge Finals
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Title
The DARPA Robotics Challenge Finals: Humanoid Robots To The Rescue
Published by
Springer International Publishing, April 2018
DOI 10.1007/978-3-319-74666-1
ISBNs
978-3-31-974665-4, 978-3-31-974666-1
Editors

Matthew Spenko, Stephen Buerger, Karl Iagnemma

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 50%
Student > Master 3 14%
Student > Doctoral Student 2 9%
Student > Bachelor 2 9%
Professor 1 5%
Other 1 5%
Unknown 2 9%
Readers by discipline Count As %
Engineering 14 64%
Computer Science 3 14%
Neuroscience 1 5%
Physics and Astronomy 1 5%
Unknown 3 14%