research-article

Will i bother here?: a robot anticipating its influence on pedestrian walking comfort

Authors:

Hiroyuki Kidokoro,

Takayuki Kanda,

Dražen Brščić,

Masahiro ShiomiAuthors Info & Claims

HRI '13: Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction

Pages 259 - 266

Published: 03 March 2013 Publication History

Abstract

A robot working among pedestrians can attract crowds of people around it, and consequentially become a bothersome entity causing congestion in narrow spaces. To address this problem, our idea is to endow the robot with capability to understand humans' crowding phenomena. The proposed mechanism consists of three underlying models: a model of pedestrian flow, a model of pedestrian interaction, and a model of walking comfort. Combining these models a robot is able to simulate hypothetical situations where it navigates between pedestrians, and anticipate the degree to which this would affect the pedestrians' walking comfort. This idea is implemented in a friendly-patrolling scenario. During planning, the robot simulates the interaction with pedestrian crowd and determines the best path to roam. The result of a field experiment demonstrated that with the proposed method the pedestrians around the robot perceived better walking comfort than pedestrians around the robot that only maximized its exposure.

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Cited By

Schneiders ECheon EKjeldskov JRehm MSkov M(2022)Non-Dyadic Interaction: A Literature Review of 15 Years of Human-Robot Interaction Conference PublicationsACM Transactions on Human-Robot Interaction10.1145/348824211:2(1-32)Online publication date: 8-Feb-2022
https://dl.acm.org/doi/10.1145/3488242
Pulido JFields MBarnes LLarson KWinikoff MDas SDurfee E(2017)On-the-fly Learning and Monitoring of Partially Observed Navigation PlanProceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems10.5555/3091125.3091409(1700-1702)Online publication date: 8-May-2017
https://dl.acm.org/doi/10.5555/3091125.3091409
Yang DKurt ARedmill KÖzgüner ÜDubey AGokhale ASturm MRhee S(2017)Agent-based microscopic pedestrian interaction with intelligent vehicles in shared spaceProceedings of the 2nd International Workshop on Science of Smart City Operations and Platforms Engineering10.1145/3063386.3063766(69-74)Online publication date: 18-Apr-2017
https://dl.acm.org/doi/10.1145/3063386.3063766
Show More Cited By

Index Terms

Will i bother here?: a robot anticipating its influence on pedestrian walking comfort
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Robotics
2. Computing methodologies
  1. Artificial intelligence
    1. Control methods
      1. Robotic planning
    2. Planning and scheduling
      1. Robotic planning

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Information & Contributors

Information

Published In

cover image ACM Conferences

HRI '13: Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction

March 2013

452 pages

ISBN:9781467330558

General Chairs:
Hideaki Kuzuoka
University of Tsukuba, Japan
,
Vanessa Evers
University of Twente, The Netherlands
,
Program Chairs:
Michita Imai
Keio University, Japan
,
Jodi Forlizzi
Carnegie Mellon University, USA

Sponsors

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

In-Cooperation

AAAI: American Association for Artificial Intelligence
Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc

Publisher

IEEE Press

Publication History

Published: 03 March 2013

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suppl.mov: Supplemental video https://dl.acm.org/doi/10.5555/2447556.2447664#hri125.mp4

Conference

HRI'13

Sponsor:

HRI'13: ACM/IEEE International Conference on Human-Robot Interaction

March 3 - 6, 2013

Tokyo, Japan

Acceptance Rates

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

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Cited By

Schneiders ECheon EKjeldskov JRehm MSkov M(2022)Non-Dyadic Interaction: A Literature Review of 15 Years of Human-Robot Interaction Conference PublicationsACM Transactions on Human-Robot Interaction10.1145/348824211:2(1-32)Online publication date: 8-Feb-2022
https://dl.acm.org/doi/10.1145/3488242
Pulido JFields MBarnes LLarson KWinikoff MDas SDurfee E(2017)On-the-fly Learning and Monitoring of Partially Observed Navigation PlanProceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems10.5555/3091125.3091409(1700-1702)Online publication date: 8-May-2017
https://dl.acm.org/doi/10.5555/3091125.3091409
Yang DKurt ARedmill KÖzgüner ÜDubey AGokhale ASturm MRhee S(2017)Agent-based microscopic pedestrian interaction with intelligent vehicles in shared spaceProceedings of the 2nd International Workshop on Science of Smart City Operations and Platforms Engineering10.1145/3063386.3063766(69-74)Online publication date: 18-Apr-2017
https://dl.acm.org/doi/10.1145/3063386.3063766
Szafir DMutlu BFong TAdams JSmart WMutlu BTakayama L(2015)Communicating Directionality in Flying RobotsProceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction10.1145/2696454.2696475(19-26)Online publication date: 2-Mar-2015
https://dl.acm.org/doi/10.1145/2696454.2696475
Brščić DKidokoro HSuehiro YKanda TAdams JSmart WMutlu BTakayama L(2015)Escaping from Children's Abuse of Social RobotsProceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction10.1145/2696454.2696468(59-66)Online publication date: 2-Mar-2015
https://dl.acm.org/doi/10.1145/2696454.2696468
Szafir DMutlu BFong TSagerer GImai MBelpaeme TThomaz A(2014)Communication of intent in assistive free flyersProceedings of the 2014 ACM/IEEE international conference on Human-robot interaction10.1145/2559636.2559672(358-365)Online publication date: 3-Mar-2014
https://dl.acm.org/doi/10.1145/2559636.2559672
Zheng KGlas DKanda TIshiguro HHagita NKuzuoka HEvers VImai MForlizzi J(2013)Supervisory control of multiple social robots for navigationProceedings of the 8th ACM/IEEE international conference on Human-robot interaction10.5555/2447556.2447560(17-24)Online publication date: 3-Mar-2013
https://dl.acm.org/doi/10.5555/2447556.2447560

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