The Design of Interfaces for Multi-Robot Path Planning and Control

被引:0
|
作者
Andolina, Salvatore [1 ,2 ]
Forlizzi, Jodi [3 ]
机构
[1] Univ Helsinki, HIIT, Helsinki, Finland
[2] Univ Helsinki, Dept Comp Sci, Helsinki, Finland
[3] Carnegie Mellon Univ, Design & Human Comp Interact, Pittsburgh, PA 15213 USA
关键词
D O I
暂无
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
The field of human-robot interaction has evolved beyond issues concerning the design and development of one person controlling one robot to exploring HRI for groups of robots and teams. Our design research explores biologically-inspired motion that is initiated by a human operator, applied to a single or a small group of robots, and used to affect the motion and path planning of another subset of robots. This exploratory design study first created a taxonomy to categorize individual robot motions, looking at how they could be categorized and used as building blocks. We then combined individual motions with time and velocity as design variables to guide our interaction design. This work led to the development of a prototype set of motions, which was applied in the development of an iPad interface. We informally evaluated this prototype with nine participants. We present challenges and design recommendations based on this effort.
引用
收藏
页码:7 / 13
页数:7
相关论文
共 50 条
  • [31] Path Planning for Multi-robot Systems in Intelligent Warehouse
    Chen, Hailong
    Wang, Qiang
    Yu, Meng
    Cao, Jingjing
    Sun, Jingtao
    INTERNET AND DISTRIBUTED COMPUTING SYSTEMS, 2018, 11226 : 148 - 159
  • [32] Multi-Robot Path-Planning Problem for a Heavy Traffic Control Application: A Survey
    Alotaibi, Ebtehal Turki Saho
    Al-Rawi, Hisham
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2016, 7 (06) : 179 - 188
  • [33] A Multi-Robot Path Planning Approach Based on Probabilistic Foam
    Nascimento, Luis B. P.
    Morais, Daniel S.
    Barrios-Aranibar, Dennis
    Santos, Vitor G.
    Pereira, Diego S.
    Alsina, Pablo J.
    Medeiros, Adelardo A. D.
    2019 LATIN AMERICAN ROBOTICS SYMPOSIUM, 2019 BRAZILIAN SYMPOSIUM ON ROBOTICS (SBR) AND 2019 WORKSHOP ON ROBOTICS IN EDUCATION (LARS-SBR-WRE 2019), 2019, : 329 - 334
  • [34] Multi-robot Path Planning for Complete Coverage with Genetic Algorithms
    Sun, Rongchuan
    Tang, Chunhua
    Zheng, Jianying
    Zhou, Yongzheng
    Yu, Shumei
    INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2019, PT V, 2019, 11744 : 349 - 361
  • [35] MT*: Multi-Robot Path Planning for Temporal Logic Specifications
    Gujarathi, Dhaval
    Saha, Indranil
    2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2022, : 13692 - 13699
  • [36] Cooperative multi-robot path planning using differential evolution
    Chakraborty, Jayasree
    Konar, Amit
    Jain, L. C.
    Chakraborty, Uday K.
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2009, 20 (1-2) : 13 - 27
  • [37] Optimizing schedules for prioritized path planning of multi-robot systems
    Bennewitz, M
    Burgard, W
    Thrun, S
    2001 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS I-IV, PROCEEDINGS, 2001, : 271 - 276
  • [38] Cooperative simulated annealing for path planning in multi-robot systems
    Sánchez-Ante, G
    Ramos, F
    Frausto, J
    MICAI 2000: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2000, 1793 : 148 - 157
  • [39] Rubik Tables, Stack Rearrangement, and Multi-Robot Path Planning
    Guo, Teng
    Feng, Si Wei
    Szegedy, Mario
    Yu, Jingjin
    2022 58TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON), 2022,
  • [40] Path planning for permutation-invariant multi-robot formations
    Kloder, S
    Hutchinson, S
    2005 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-4, 2005, : 1797 - 1802