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运动技能学习路线图

A Road Map for Motor Skill Learning
课程网址: http://videolectures.net/ecmlpkdd09_peters_rmmsl/  
主讲教师: Jan Peters
开课单位: 达姆施塔特理工大学
开课时间: 2009-10-20
课程语种: 英语
中文简介:
能够在日常生活中帮助人类的自主机器人一直是机器人,人工智能和认知科学的长期愿景。实现这一目标的第一步是可以学习由环境背景或更高级别指令触发的任务的createrobots。然而,学习技术尚未达到这一承诺,因为只有少数方法能够扩展到高维操纵器或类人机器人。在本教程中,我们将概述运动技能学习的一般概述。为此,wediscuss任务适当的表示和算法学习机器人。主题包括通过模仿和强化学习学习基本动作或运动原语,学习理论和离散运动,学习逆向动力学的快速回归方法和学习任务空间政策的设置。将展示各种机器人的示例;这些包括球划桨,杯中球,机器人飞镖,机器人乒乓球,学习反向动力学,学习操作空间控制,以及许多其他。
课程简介: Autonomous robots that can assist humans in situations of daily life have been a long standing vision of robotics, artificial intelligence, and cognitive sciences. A first step towards this goal is to create robots that can learn tasks triggered by environmental context or higher level instruction. However, learning techniques have yet to live up to this promise as only few methods manage to scale to high-dimensional manipulator or humanoid robots. In this tutorial, we give a general overview on motor skill learning. For doing so, we discuss task-appropriate representations and algorithms for learning in robotics. Among the topics are the learning basic movements or motor primitives by imitation and reinforcement learning, learning rhytmic and discrete movements, fast regression methods for learning inverse dynamics and setups for learning task-space policies. Examples on various robots will be shown; these include ball-paddling, ball-in-a-cup, robot darts, robot table tennis, learning inverse dynamics, learning operational space control, and many others.
关 键 词: 机器人; 人工智能; 认知科学
课程来源: 视频讲座网
最后编审: 2019-03-27:lxf
阅读次数: 111