research-article

Destination unknown: walking side-by-side without knowing the goal

Authors:

Luis Yoichi Morales Saiki,

Takayuki Kanda,

Hiroshi IshiguroAuthors Info & Claims

HRI '14: Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction

Pages 471 - 478

https://doi.org/10.1145/2559636.2559665

Published: 03 March 2014 Publication History

Abstract

Walking side by side is a common situation when we go from one place to another with another person while talking. Our previous study reported a basic mechanism for side-by-side walking, but in the previous model it was crucial that each agent knew where he or she was going, i.e. the route to the destination. However, we have recognized the need to model the situation where one of the agents does not know the destination. The extended model presented in this work has two states: leader-follower state and collaborative state. Depending on whether the follower agent has obtained a reliable estimate of the route to follow, the walking agents transition between the two states. The model is calibrated with trajectories acquired from pairs of people walking side by side, and then it is tested in a human-robot interaction scenario. The results demonstrate that the new extended model achieves better side-by-side performance than a standard method without knowledge of the subgoal.

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Cited By

Wadgaonkar CFreischuetz JHedaoo SKnight H(2024)VR Storytelling: Early Explorations of Minimal Social Robots in Virtual RealityProceedings of the 2024 International Symposium on Technological Advances in Human-Robot Interaction10.1145/3648536.3648547(92-100)Online publication date: 9-Mar-2024
https://dl.acm.org/doi/10.1145/3648536.3648547
Hou YCheon EJung MGrollman DBroadbent EJu WSoh HWilliams T(2024)Power in Human-Robot InteractionProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634949(269-282)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610977.3634949
Zhu YWen RWilliams TGrollman DBroadbent EJu WSoh HWilliams T(2024)Robots for Social Justice (R4SJ): Toward a More Equitable Practice of Human-Robot InteractionProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634944(850-859)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610977.3634944
Show More Cited By

Index Terms

Destination unknown: walking side-by-side without knowing the goal
1. Computing methodologies
  1. Artificial intelligence
    1. Philosophical/theoretical foundations of artificial intelligence
      1. Cognitive science
2. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

HRI '14: Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction

March 2014

538 pages

ISBN:9781450326582

DOI:10.1145/2559636

General Chairs:
Gerhard Sagerer
Bielefeld University, Germany
,
Michita Imai
Keio University, Japan
,
Program Chairs:
Tony Belpaeme
Plymouth University, UK
,
Andrea Thomaz
Georgia Institute of Technology, USA

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGAI: ACM Special Interest Group on Artificial Intelligence
RA: IEEE Robotics and Automation Society
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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New York, NY, United States

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Published: 03 March 2014

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HRI'14

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HRI'14: ACM/IEEE International Conference on Human-Robot Interaction

March 3 - 6, 2014

Bielefeld, Germany

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HRI '14 Paper Acceptance Rate 32 of 132 submissions, 24%;

Overall Acceptance Rate 268 of 1,124 submissions, 24%

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Cited By

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https://dl.acm.org/doi/10.1145/3648536.3648547
Hou YCheon EJung MGrollman DBroadbent EJu WSoh HWilliams T(2024)Power in Human-Robot InteractionProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634949(269-282)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610977.3634949
Zhu YWen RWilliams TGrollman DBroadbent EJu WSoh HWilliams T(2024)Robots for Social Justice (R4SJ): Toward a More Equitable Practice of Human-Robot InteractionProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634944(850-859)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610977.3634944
Peng JLiao ZYao HSu ZZeng YDai H(2023)MPC-Based Human-Accompanying Control Strategy for Improving the Motion Coordination Between the Target Person and the Robot2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS55552.2023.10342246(7969-7975)Online publication date: 1-Oct-2023
https://doi.org/10.1109/IROS55552.2023.10342246
Xue GYao HZhang YHuang JZhu LDai H(2022)UWB-Based Adaptable Side-by-Side Following for Human-Following Robots2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)10.1109/ROBIO55434.2022.10011938(333-338)Online publication date: 5-Dec-2022
https://doi.org/10.1109/ROBIO55434.2022.10011938
Repiso EGarrell ASanfeliu A(2022)Adaptive Social Planner to Accompany People in Real-Life Dynamic EnvironmentsInternational Journal of Social Robotics10.1007/s12369-022-00937-316:6(1189-1221)Online publication date: 3-Dec-2022
https://doi.org/10.1007/s12369-022-00937-3
Porfirio DStegner LCakmak MSauppé AAlbarghouthi AMutlu BKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Figaro: A Tabletop Authoring Environment for Human-Robot InteractionProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3446864(1-15)Online publication date: 6-May-2021
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Yin WYin HKragic DBjorkman M(2021)Graph-based Normalizing Flow for Human Motion Generation and Reconstruction2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)10.1109/RO-MAN50785.2021.9515316(641-648)Online publication date: 8-Aug-2021
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Yao HDai HZhao ELiu PZhao R(2021)Laser-Based Side-by-Side Following for Human-Following Robots2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS51168.2021.9636458(2651-2656)Online publication date: 27-Sep-2021
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Lo SShort EThomaz A(2021)Robust Planning with Emergent Human-like Behavior for Agents Traveling in Groups2021 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA48506.2021.9560989(3744-3750)Online publication date: 30-May-2021
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