Towards Human-in-the-Loop Autonomous Multi-Robot Operations
Towards Human-in-the-Loop Autonomous Multi-Robot Operations
复制标题
迈向人在环自主多机器人操作
DOI：
10.1145/3461615.3486573
复制
发表时间：
2021
期刊：
影响因子：
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通讯作者：
G. Beltrame
中科院分区：
文献类型：
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作者：
Marcel Kaufmann;Katherine Sheridan;G. Beltrame
人工智能的快速发展正在推动机器人技术和自动化在运输和物流中的应用，为高速公路系统、客运、最后一英里交付和自动化仓库提供新的解决方案。由于环境是动态的且不完全可知，因此在可预见的未来将需要人类监督来解决意想不到的问题。其他领域的研究表明，人类-机器人团队甚至可能提供最佳解决方案，因为人类和人工智能的相对优势可以结合起来。然而，实现人机互补是一项挑战，因为复杂的人工智能技术导致机器人控制程序越来越不透明，随着自主车队规模的增长，操作员的认知能力可能会被超越。我们提出了我们的愿景和初步成果的框架，人类监督控制和人类机器人的自动化多车辆系统的团队合作。
Rapid advances in artificial intelligence are driving applications of robotics and automation in transport and logistics, providing new solutions to highway systems, passenger transport, last-mile delivery, and automated warehouses. Because the environment is dynamic and not entirely knowable, human supervision will be needed for the foreseeable future to solve unexpected problems. Research in other domains suggests that human-robot teams may even offer the optimal solution, as the relative strengths of human and artificial intelligence can be combined. However, realizing human-robot complementarity is challenging because sophisticated AI techniques lead to increasingly opaque robot control programs, and operators’ cognitive capacities can be exceeded as the sizes of autonomous fleets grow. We present our vision and initial results for a framework for human supervisory control and human robot teamwork for automated multi-vehicle systems.