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
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