Online planning for human–multi-robot interactive theatrical performance

被引:0
|
作者
Ellen A. Cappo
Arjav Desai
Matthew Collins
Nathan Michael
机构
[1] Carnegie Mellon University,The Robotics Institute
来源
Autonomous Robots | 2018年 / 42卷
关键词
Human–multi-robot interaction; Multi-robot online planning; Multi-robot formation trajectory generation;
D O I
暂无
中图分类号
学科分类号
摘要
We propose and evaluate a multi-robot system designed to enable live, improvisational theatric performance through online interaction between a performer and a robot system. The proposed system translates theatric performer intent into dynamically feasible trajectories for multi-robot ensembles without requiring prior knowledge of the ordering or timing of the desired robot motions. We allow a user to issue detailed instructions composed of desired motion descriptors in an online setting to specify the motion of varying collectives of robots via a centralized system planner. The centralized planner refines user motion specifications into safe and dynamically feasible trajectories thereby reducing the cognitive burden placed on the performer. We evaluate the system on a team of aerial robots (quadrotors), and show through offline simulation and online performance that the proposed system formulation translates online input into non-colliding dynamically feasible trajectories enabling a fleet of fifteen quadrotors to perform a series of coordinated behaviors in response to improvised direction from a human operator.
引用
收藏
页码:1771 / 1786
页数:15
相关论文
共 50 条
  • [1] Online planning for human-multi-robot interactive theatrical performance
    Cappo, Ellen A.
    Desai, Arjav
    Collins, Matthew
    Michael, Nathan
    AUTONOMOUS ROBOTS, 2018, 42 (08) : 1771 - 1786
  • [2] Data Driven Online Multi-Robot Formation Planning
    Cappo, Ellen A.
    Desai, Arjav
    Michael, Nathan
    2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2020, : 11638 - 11643
  • [3] Decentralised Online Planning for Multi-Robot Warehouse Commissioning
    Claes, Daniel
    Oliehoek, Frans
    Baier, Hendrik
    Tuyls, Karl
    AAMAS'17: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, 2017, : 492 - 500
  • [4] Scalable Online Coverage Path Planning for Multi-Robot Systems
    Mitra, Ratijit
    Saha, Indranil
    2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2022, : 10102 - 10109
  • [5] An Online Planning Framework for Multi-Robot Systems with LTL Specification
    Singh, Rohit
    Saha, Indranil
    PROCEEDINGS 15TH ACM/IEEE INTERNATIONAL CONFERENCE ON CYBER-PHYSICAL SYSTEMS, ICCPS 2024, 2024, : 180 - 191
  • [6] The creation of a multi-human, multi-robot interactive jam session
    Weinberg, Gil
    Blosser, Brian
    Mallikarjuna, Trishul
    Raman, Aparna
    Proceedings of the International Conference on New Interfaces for Musical Expression, 2009, : 70 - 73
  • [7] Modeling Human Motion Patterns for Multi-Robot Planning
    Karnad, Nikhil
    Isler, Volkan
    2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2012, : 3161 - 3166
  • [8] Planning for Multi-robot Localization
    Pinheiro, Paulo
    Wainer, Jacques
    ADVANCES IN ARTIFICIAL INTELLIGENCE - SBIA 2010, 2010, 6404 : 183 - 192
  • [9] A Framework for Online and Offline Programming of Multi-Robot Cooperative Motion Planning
    Mo, Senyu
    Guan, Yisheng
    Li, Yihui
    Chen, Xiaohan
    2023 9TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND ROBOTICS ENGINEERING, ICMRE, 2023, : 72 - 77
  • [10] Robust Online Multi-Robot Simultaneous Exploration and Coverage Path Planning
    Nair, Vishnu G.
    Dileep, M. V.
    Guruprasad, K. R.
    IEEE ACCESS, 2024, 12 : 72990 - 73003