Thesis_Jingyi.bbl 35 KB

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  47. \field{title}{Human-robot interactions during the robot-assisted urban search and rescue response at the World Trade Center}
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  78. \field{title}{A decade of rescue robots}
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  127. \field{title}{Operation of underwater rescue robot anchor diver III during the 2011 Tohoku Earthquake and Tsunami}
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  158. \field{title}{Human-robot interaction in rescue robotics}
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  196. \field{abstract}{A crucial skill for fluent action meshing in human team activity is a learned and calculated selection of anticipatory actions. We believe that the same holds for robotic teammates, if they are to perform in a similarly fluent manner with their human counterparts.In this work, we propose an adaptive action selection mechanism for a robotic teammate, making anticipatory decisions based on the confidence of their validity and their relative risk. We predict an improvement in task efficiency and fluency compared to a purely reactive process.We then present results from a study involving untrained human subjects working with a simulated version of a robot using our system. We show a significant improvement in best-case task efficiency when compared to a group of users working with a reactive agent, as well as a significant difference in the perceived commitment of the robot to the team and its contribution to the team's uency and success. By way of explanation, we propose a number of fluency metrics that differ significantly between the two study groups.}
  197. \field{booktitle}{Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction}
  198. \field{isbn}{9781595936172}
  199. \field{series}{HRI '07}
  200. \field{title}{Effects of Anticipatory Action on Human-Robot Teamwork Efficiency, Fluency, and Perception of Team}
  201. \field{year}{2007}
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  248. \field{booktitle}{2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT)}
  249. \field{journaltitle}{2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT)}
  250. \field{title}{Earthquake rescue robot: A purview to life}
  251. \field{year}{2017}
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  282. \field{journaltitle}{2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)}
  283. \field{title}{DOORMOR: A Functional Prototype of a Manual Search and Rescue Robot}
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  375. \field{journaltitle}{Lecture Notes in Computational Vision and Biomechanics}
  376. \field{month}{10}
  377. \field{title}{Human-Robot Interaction Based on Gestures for Service Robots}
  378. \field{volume}{27}
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  529. \field{title}{``You two! Take off!'': Creating, modifying and commanding groups of robots using face engagement and indirect speech in voice commands}
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  573. \field{number}{3}
  574. \field{title}{A Novel EOG/EEG Hybrid Human--Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control}
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  611. \field{abstract}{The remote handling (RH) plays an important role in nuclear test facilities, such as in ITER, for in-vessel and ex-vessel maintenance operations. Unexpected situations may occur when RH devices fail. Since no human being is allowed during the RH operations, a Multi-purpose Rescue Vehicle (MPRV) must be required for providing support in site. This paper proposes a design of a MPRV, i.e., a mobile platform equipped with different sensors and two manipulators with different sets of end-effectors. A human--machine interface is also proposed to remotely operate the MPRV and to carry out rescue and recovery operations.}
  612. \field{issn}{0920-3796}
  613. \field{journaltitle}{Fusion Engineering and Design}
  614. \field{note}{Proceedings of the 28th Symposium On Fusion Technology (SOFT-28)}
  615. \field{title}{A Multi-purpose Rescue Vehicle and a human--robot interface architecture for remote assistance in ITER}
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