首页|Study Findings from Karlsruhe Institute of Technology (KIT) Advance Knowledge in Robotics (Learning human actions from complex manipulation tasks and their tran sfer to robots in the circular factory)
Study Findings from Karlsruhe Institute of Technology (KIT) Advance Knowledge in Robotics (Learning human actions from complex manipulation tasks and their tran sfer to robots in the circular factory)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ro botics. According to news reporting from Karlsruhe, Germany, by NewsRx journalis ts, research stated, "Process automation is essential to establish an economical ly viable circular factory in high-wage locations." Our news editors obtained a quote from the research from Karlsruhe Institute of Technology (KIT): "This involves using autonomous production technologies, such as robots, to disassemble, reprocess, and reassemble used products with unknown conditions into the original or a new generation of products. This is a complex and highly dynamic issue that involves a high degree of uncertainty. To adapt ro bots to these conditions, learning from humans is necessary. Humans are the most flexible resource in the circular factory and they can adapt their knowledge and skills to new tasks and changing conditions. This paper presents an interdisci plinary research framework for learning human action knowledge from complex mani pulation tasks through human observation and demonstration. The acquired knowled ge will be described in a machine-executable form and will be transferred to ind ustrial automation execution by robots in a circular factory."
Karlsruhe Institute of Technology (KIT)KarlsruheGermanyEuropeEmerging TechnologiesMachine LearningNano-robotRobotics
NETL
NSTL
