机器人
计算机科学
机器人学
人机交互
认知机器人学
人工智能
强化学习
认知
比例(比率)
心理学
量子力学
物理
神经科学
出处
期刊:IEEE Computer
[IEEE Computer Society]
日期:2019-11-21
卷期号:52 (12): 39-44
被引量:10
标识
DOI:10.1109/mc.2019.2942579
摘要
Robots have spread from manufacturing floors to spaces occupied by humans. Although robots in these settings may improve the way humans work, the programming by hand of collaborative robots in such environments is increasingly difficult. We predict that recent breakthroughs in large-scale simulations, deep reinforcement learning, and computer vision collectively bring forth a basic level of cognitive abilities to robots that will lead to significant improvements of robotic applications over the next few years.
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