交互式群机器人的适应性平台:一个人-群交互研究试验台

N. Dhanaraj, Julietta Maffeo, G. Pereira, Jason N. Gross, Yu Gu, Nathan Hewitt, Casey Edmonds-Estes, Rachel Jarman, Jeongwoo Seo, Henry Gunner, Alexandra Hatfield, Tucker Johnson, Lunet Yifru
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引用次数: 3

摘要

本文介绍了交互式蜂群机器人(APIS)的适应性平台——一个旨在加速人群交互(HSI)研究发展的试验台。具体来说,本文提出了一个由50个低成本机器人组成的群体机器人平台的设计,并结合了一个测试场和一个允许群体算法模块化和通用开发的软件架构。开发这个平台背后的动机是,群体集体行为的出现很难预测和控制。然而,人与群体的互动可以显著地提高群体的性能,因为人类操作员可能有群体无法获得的直觉或知识。api的开发使研究人员能够专注于HSI研究,而不受固定规则集或接口的限制。本文提出了一个简短的调查,提供了群平台的分类,并提供了与api开发相关的结论。接下来,描述了api测试平台的动机、设计和功能。最后,通过两次实验评估,论证了该平台的可行性和潜力。
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Adaptable Platform for Interactive Swarm Robotics (APIS): A Human-Swarm Interaction Research Testbed
This paper describes the Adaptable Platform for Interactive Swarm robotics (APIS) - a testbed designed to accelerate development in human-swarm interaction (HSI) research. Specifically, this paper presents the design of a swarm robot platform composed of fifty low cost robots coupled with a testing field and a software architecture that allows for modular and versatile development of swarm algorithms. The motivation behind developing this platform is that the emergence of a swarm's collective behavior can be difficult to predict and control. However, human-swarm interaction can measurably increase a swarm's performance as the human operator may have intuition or knowledge unavailable to the swarm. The development of APIS allows researchers to focus on HSI research, without being constrained to a fixed ruleset or interface. A short survey is presented that offers a taxonomy of swarm platforms and provides conclusions that contextualize the development of APIS. Next, the motivations, design and functionality of the APIS testbed are described. Finally, the operation and potential of the platform are demonstrated through two experimental evaluations.
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