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
  • [21] Teams Organization and Performance in Multi-Human/Multi-Robot Teams
    Lewis, Michael
    Wang, Huadong
    Chien, Shih-Yi
    Scerri, Paul
    Velagapudi, Prasanna
    Sycara, Katia
    Kane, Breelyn
    IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2010), 2010,
  • [22] Restricted Communication in Online Multi-Robot Exploration
    Jensen, Elizabeth A.
    PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2018, : 5767 - 5768
  • [23] Online Trajectory Generation With Distributed Model Predictive Control for Multi-Robot Motion Planning
    Luis, Carlos E.
    Vukosavljev, Marijan
    Schoellig, Angela P.
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2020, 5 (02) : 604 - 611
  • [24] DECENTRALIZED MULTI-ROBOT PLANNING TO EXPLORE AND PERCEIVE
    Matignon, Laetitia
    Jeanpierre, Laurent
    Mouaddib, Abdel-Illah
    ACTA POLYTECHNICA, 2015, 55 (03) : 169 - 176
  • [25] Path planning of multi-robot systems with cooperation
    Zhu, AM
    Yang, SX
    2003 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION, VOLS I-III, PROCEEDINGS, 2003, : 1028 - 1033
  • [26] On the hardness of unlabeled multi-robot motion planning
    Solovey, Kiril
    Halperin, Dan
    ROBOTICS: SCIENCE AND SYSTEMS XI, 2015,
  • [27] Multi-robot LTL Planning Under Uncertainty
    Menghi, Claudio
    Garcia, Sergio
    Pelliccione, Patrizio
    Tumova, Jana
    FORMAL METHODS, 2018, 10951 : 399 - 417
  • [28] Motion planning for multi-robot assembly systems
    Bonert, M
    Shu, LH
    Benhabib, B
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2000, 13 (04) : 301 - 310
  • [29] Multi-robot Path Planning and Trajectory Smoothing
    Ali, Hub
    Xiong, Gang
    Wu, Huaiyu
    Hu, Bin
    Shen, Zhen
    Bai, Hongxing
    2020 IEEE 16TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2020, : 685 - 690
  • [30] Multi-robot motion planning by incremental coordination
    Saha, Mitul
    Isto, Pekka
    2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12, 2006, : 5960 - +