#研究分享#【机器人研究的发展】

#研究分享#【机器人研究的发展】该领域研究的新趋势集中在服务型的机器人上,目的是为了研究如何使机器人更贴近社会需求。当下关于机器人的研究正从机器人的动力转向人与机器人的互动,主题包括:1、如何使人机交互界面更为简单易操作;2、人与机器人的安全互动;3、情感的表达与感知;4、机器人以近似人类的方式进行社会学习。http://www.looooker.com/archives/9159

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This article surveys the evolution of robotics research in the last half century as a response to the evolution of human social needs, from the industrial robotics that released the human operator from dangerous or risky tasks to the recent explosion of field and service robotics to assist the human. This article surveys traditional research topics in industrial robotics and mobile robotics and then expands on new trends in robotics research that focus more on the interaction between human and robot. The new trends in robotics research have been denominated service robotics because of their general goal of getting robots closer to human social needs, and this article surveys research on service robotics such as medical robotics, rehabilitation robotics, underwater robotics, field robotics, construction robotics and humanoid robotics. The aim of this article is to provide an overview of the evolution of research topics in robotics from classical motion control for industrial robots to modern intelligent control techniques and social learning paradigms, among other aspects.

 

Research in humanoid robotics is currently shifting from locomotion issues to interaction between humans and robots.

Research topics include the following.

1) Friendly human-robot interfaces that make it easier for non-skilled users to operate a robot. Speech-recognition systems [74], electromyogram [75], and electrooculogram [76] signal interpretation are some of the approaches being considered.

2) Safe human-robot interaction. The problem is being overcome by considering both safe actuation control designs that reduce the impact loads associated with uncontrolled motion [77] and safe robot-motion planning [78].

3) Emotion expression and perception. The exciting research in this direction is envisaged for applications such as personal and social robots [79], [80].

4) Social learning. New learning approaches are being envisaged in a human-like way. In contrast to statistical learning approaches, the new learning approaches help robots quickly learn new skills and tasks from natural human instruction and few demonstrations. Socially guided learning includes learning by imitation [81] and learning by tutelage [82].

Research dealing with biped locomotion remains open in the area of dynamic stability in walking while manipulating objects and contacting the environment [83], [84].

 

标题:The evolution of robotics research

作者:Garcia, E., Jimenez, M.A., De Santos, P.G., Armada, M.

来源:Robotics & Automation Magazine, IEEE. 14(1), 90-103.

下载:The Evolution of Robotics research


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