Envision having a robotic that can assist you tidy up after a celebration– or fold lots of washing. Chengshu Eric Li and Josiah David Wong, 2 Stanford College Ph.D. pupils recommended by distinguished American computer system researcher Teacher Fei-Fei Li, are making that a desire come to life. In this episode of the AI Podcast, host Noah Kravitz talked to both regarding their job, BEHAVIOR-1K, which intends to allow robotics to execute 1,000 home tasks, consisting of getting dropped things or food preparation. To educate the robotics, they’re making use of the NVIDIA Omniverse platform, along with support and replica discovering methods. Pay attention to listen to even more regarding the developments and difficulties Li and Wong experienced in the process.
Keep tuned for even more AI Podcast episodes taped online from GTC.
Time Stamps
3:33: History on the BEHAVIOR-1K job
5:00: Why make use of a substitute atmosphere to educate robotics?
6:48: Why develop a brand-new simulation engine as opposed to making use of an existing one?
10:48: The procedure of educating the robotics to execute home tasks
14:04: Several of one of the most complicated jobs instructed to the robotics
19:07: Exactly how are big language designs and big vision designs influencing the progression of robotics?
24:09: What’s following for the job?
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发布者：Kristen Yee，转转请注明出处：https://robotalks.cn/tidy-tech-how-two-stanford-students-are-building-robots-for-handling-household-chores/
