MIT Student Wants to Improve How Robots Interact with the World

Maria Bauza, a PhD candidate at MIT, wants to teach robots how to move objects better using machine learning and computer software. Working on a goal of automatous robots, the first step seems to be perfecting the way a robot will pick up an object, the way it might push the object around, and also the way it will set it down. Bauza believes that if a robot were able to make decisions regarding the object it is interacting with, it would be better equipped to interact with the world around it.

To create these robust autonomous systems, Bauza has been exploring the notion of uncertainty when robots pick up, grasp, or push an object. “If the robot could touch the object, have a notion of tactile information, and be able to react to that information, it will have much more success,” explains Bauza.

To learn more, read the complete article from MIT News here.

关于此作者

Image of Jenn Toso

Jenn Toso 是一个社交媒体营销专家,擅长一切社交活动!作为 DigiKey 社交媒体团队的忠实成员,您可以在 DigiKey 的社交媒体渠道上看到她的博客、分享、推特和帖子。Jenn 酷爱创客和 STEM 社区,她相信今天的年轻人手中握着一把为我们每个人创造更美好明天的钥匙。Jenn 拥有科学学士学位、互联网营销硕士学位和曲棍球妈妈博士学位。业余时间,Jenn 喜欢探索她最近发现的可穿戴技术的亲和力,也喜欢让自己痴迷于所有与曲棍球相关的东西。您会常常发现 Jenn 活跃在一些社交媒体或曲棍球球场上——或有时候同时乐在其中。

More posts by Jenn Toso
 TechForum

Have questions or comments? Continue the conversation on TechForum, Digi-Key's online community and technical resource.

Visit TechForum