Human Decision-Making Behavior Modeling for Human Multi-Robot Interaction System

被引:1
|
作者
Wu, Wenhua [1 ]
Huang, Jie [1 ]
Zhang, Zhenyi [1 ]
机构
[1] Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Peoples R China
来源
IFAC PAPERSONLINE | 2020年 / 53卷 / 02期
基金
中国国家自然科学基金;
关键词
Human robot interaction; multi robot system; human drift diffusion model; human decision-making behavior modeling; behavioral control; SUPERVISORY CONTROL; DIFFUSION-MODEL; ACCOUNT; TIMES;
D O I
10.1016/j.ifacol.2020.12.2749
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the composition of human decision-making process in human-robot interaction is analyzed and the human decision-making behavior is modeled. The human decision-making process is divided into data-processing station and human cognitive system. By combining with the null-space-based control (NSBC) method, the traditional drift diffusion model (DDM) is applied for for human decision-making behavior modeling in human-robot interaction (HRI). In addition, HRI is studied for a platoon of autonomous robots in an unknown environment with multiple obstacles. Moreover, the human intervention task is designed to help robots achieve tasks successfully. Finally, simulation examples are given to demonstrate the satisfactory performance of the proposed method. Copyright (C) 2020 The Authors.
引用
收藏
页码:10202 / 10207
页数:6
相关论文
共 50 条
  • [31] User interaction with multi-robot systems
    Kortenkamp, D
    Schreckenghost, D
    Martin, C
    MULTI-ROBOT SYSTEMS: FROM SWARMS TO INTELLIGENT AUTOMATA, 2002, : 213 - 220
  • [32] Modeling Human Behavior in Human-Robot Interactions
    Zgonnikov, Arkady
    Thill, Serge
    Beckerle, Philipp
    Jonker, Catholijn M.
    PROCEEDINGS OF THE 2022 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI '22), 2022, : 1296 - 1297
  • [33] Decision-Making in the Human-Machine Interface
    Falandays, J. Benjamin
    Spevack, Samuel
    Parnamets, Philip
    Spivey, Michael
    FRONTIERS IN PSYCHOLOGY, 2021, 12
  • [34] Upward Influence Tactics: Playful Virtual Reality Approach for Analysing Human Multi-robot Interaction
    Gerdenitsch, Cornelia
    Weinhofer, Matthias
    Puthenkalam, Jaison
    Kriglstein, Simone
    ENTERTAINMENT COMPUTING, ICEC 2022, 2022, 13477 : 76 - 88
  • [35] Multi-Robot Behavior Adaptation to Humans' Intention in Human-Robot Interaction Using Information-Driven Fuzzy Friend-Q Learning
    Chen, Lue-Feng
    Liu, Zhen-Tao
    Wu, Min
    Dong, Fangyan
    Hirota, Kaoru
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2015, 19 (02) : 173 - 184
  • [36] Are You Sure? - Multi-Modal Human Decision Uncertainty Detection in Human-Robot Interaction
    Scherf, Lisa
    Gasche, Lisa Alina
    Chemangui, Eya
    Koert, Dorothea
    PROCEEDINGS OF THE 2024 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI 2024, 2024, : 621 - 629
  • [37] Human Multi-robot Cooperative Manipulation Based on Distributed Control
    Wu, TianYu
    Zhang, Hai-Tao
    Xing, Ning
    Lin, Yu
    2023 7TH INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION SCIENCES, ICRAS, 2023, : 23 - 30
  • [38] Modeling of a Multi-Robot Energy Saving System to Increase Operating Time of a Firefighting Robot
    Kim, Jeongwan
    Dietz, J. Eric
    Matson, Eric T.
    2016 IEEE SYMPOSIUM ON TECHNOLOGIES FOR HOMELAND SECURITY (HST), 2016,
  • [39] A human robot interaction system "RoJi"
    Shim, I
    Yoon, J
    PROCEEDINGS OF THE 2003 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM 2003), VOLS 1 AND 2, 2003, : 723 - 728
  • [40] A Preliminary Study on Effectiveness of a Standardized Multi-Robot Therapy for Improvement in Collaborative Multi-Human Interaction of Children With ASD
    Ali, Sara
    Mehmood, Faisal
    Khan, Muhammad Jawad
    Ayaz, Yasar
    Asgher, Umer
    Sadia, Haleema
    Edifor, Ernest
    Nawaz, Raheel
    IEEE ACCESS, 2020, 8 (08): : 109466 - 109474