众包群体操纵实验：大规模在线用户研究与大群简单机器人
Crowdsourcing Swarm Manipulation Experiments: A Massive Online User Study with Large Swarms of Simple Robots
摘要：
微型和纳米机器人有可能彻底改变许多应用，包括靶向材料输送，组装和手术。同样的属性，承诺突破性的解决方案-小规模和大人口-提出了独特的挑战，以产生控制的运动。我们希望使用大量的机器人来执行操作任务;不幸的是，今天进行的人类群体交互研究的样本量有限，难以重现，并且容易出现硬件故障。我们提出一个替代方案。本文探讨了我们通过启动SwarmControl.net发现的危险、陷阱和可能性，这是一款在线游戏，玩家可以操纵多达500个机器人完成操纵挑战。我们记录了数千名玩家的统计数据，并使用游戏来探索大人口机器人控制的各个方面。我们目前的游戏框架作为一个新的，开源的工具，大规模的用户实验。我们的研究结果在人类控制微型和纳米机器人方面具有潜在的应用，为自动控制器提供了洞察力，并为大型在线机器人研究实验提供了模板。
英文摘要：
Micro- and nanorobotics have the potential to revolutionize many applications including targeted material delivery, assembly, and surgery. The same properties that promise breakthrough solutions---small size and large populations---present unique challenges to generating controlled motion. We want to use large swarms of robots to perform manipulation tasks; unfortunately, human-swarm interaction studies as conducted today are limited in sample size, are difficult to reproduce, and are prone to hardware failures. We present an alternative. This paper examines the perils, pitfalls, and possibilities we discovered by launching SwarmControl.net, an online game where players steer swarms of up to 500 robots to complete manipulation challenges. We record statistics from thousands of players, and use the game to explore aspects of large-population robot control. We present the game framework as a new, open-source tool for large-scale user experiments. Our results have potential applications in human control of micro- and nanorobots, supply insight for automatic controllers, and provide a template for large online robotic research experiments.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
