以人为中心的机器人系统与控制论的跨学科融合

E. Tunstel
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摘要

今天,在技术专业人员和技术爱好者之间的讨论中,都充斥着来自系统科学与工程、人机系统和控制论的研究和实践的创新主题。无论是由控制论实现的复杂系统,机器人和车辆自主智能,机器学习进步带来的新功能,增强人类,人机融合,还是其他形式的人机共生,在社会的技术和非技术部门,对话都是充满活力的。这些焦点领域的融合在当前的技术前沿非常普遍,但是更加强调人的因素和人与技术之间的关系,包括复杂的系统,以及实现适当的以人为中心的解决方案。控制论作为一门科学,是研究、控制和交流机器和生物的跨学科方法,它的元素可以结合起来,使复杂和日益智能的系统以共生或协作的方式与人类互动。这次演讲的重点是智能或认知机器人形式的这种系统。在这种背景下,它强调了涉及控制论和人机交互研究思想的应用,对实现智能人机协作机器人所需的下一级机器人智能的考虑,以及利用跨学科思想增强此类机器人系统的机会。
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Transdisciplinary Convergence of Human-Centric Robotic Systems and Cybernetics
Today's discourse among technical professionals and technology enthusiasts alike is teeming with subject matter focused on innovations resulting from the research and practice of systems science and engineering, human-machine systems, and cybernetics. Whether it is complex systems enabled by cybernetics, intelligence for robotic and vehicular autonomy, new capabilities enabled by advances in machine learning, augmented humans, human-machine fusion, or other forms of human-machine symbiosis, the dialog is vibrant in technical and non-technical sectors of society. The convergence of these focal areas is prevalent at the current cutting edge of technology, but with a more pronounced emphasis on human factors and human relationships to technologies comprising complex systems and toward enabling appropriate human-centric solutions. With cybernetics as a science of, and transdisciplinary approach to studying, control and communications in machines and living things, its elements can be combined to enable complex and increasingly intelligent systems that interact with humans in a symbiotic or collaborative fashion. This talk focuses on such systems in the form of intelligent or otherwise cognitive robots. In that context, it highlights applications involving ideas from cybernetics and human-robot interaction research, considerations for next-level robotic intelligence needed to enable smart human-collaborative robots, and opportunities for leveraging transdisciplinary ideas that would enhance such robotic systems.
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