图 书 馆
深度机器人学习Deep Robotic Learning |
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| 课程网址: | http://videolectures.net/iclr2016_levine_deep_learning/ |
| 主讲教师: | Sergey Levine |
| 开课单位: | 华盛顿大学 |
| 开课时间: | 2016-05-27 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The problem of building an autonomous robot has traditionally been viewed as one of integration: connecting together modular components, each one designed to handle some portion of the perception and decision making process. For example, a vision system might be connected to a planner that might in turn provide commands to a low-level controller that drives the robot's motors. In this talk, I will discuss how ideas from deep learning can allow us to build robotic control mechanisms that combine both perception and control into a single system. This system can then be trained end-to-end on the task at hand. I will show how this end-to-end approach actually simplifies the perception and control problems, by allowing the perception and control mechanisms to adapt to one another and to the task. I will also present some recent work on scaling up deep robotic learning on a cluster consisting of multiple robotic arms, and demonstrate results for learning grasping strategies that involve continuous feedback and hand-eye coordination using deep convolutional neural networks. |
| 关 键 词: | 机器人; 深度学习; 控制 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-11-27：yxd |
| 最后编审: | 2020-11-27：yxd |
| 阅读次数: | 59 |