What happens after the Industrial Robot-lution with Dr. Kiyonori Inaba (FANUC) and moderator Catherine Shu.
Two centuries after the Industrial Revolution, robotics and deep learning are creating another paradigm shift in manufacturing. As more parts of production become automated, what will human workers gain and what will they lose?
FANUC needs to make robots more flexible and more intelligent to penetrate new markets outside of factories and warehouses.
They pill sorting and gear assembly robots.
They use deep learning where robots learn tasks by example. Currently, this means operators only annotate the images. It will make skill transfer easier.
By integrating with IOT, they are able to accelerate the learning time from 8 hours to 2 hours. AI can share and integrate learning to learning faster.
FANUC has collaborating robots that do not need a safety fence. Safe green colored robots work beside humans. They meet ISO safety standards.
They are integrating IOT, sensors, AI and collaborative robots. They want robots to work autonomously safely outside of the factory in partnership with humans.
Dr. Kiyonori Inaba is Executive Vice President and General Manager of the Robot Business Division of FANUC Corporation, a global leader in factory automation, industrial robots, and advanced technologies used in manufacturing.
As General Manager of the Robot Business Division, he oversees robot business operations in both product development and sales/marketing. Dr.Inaba joined the Company in 2009 and spent his initial career in developing robot control software, pioneering the development of “learning robots”, robots which optimize their own motion to increase throughput and path accuracy. In 2013, Dr. Inaba was promoted to General Manager of the Robot Laboratory, and was elected as a member of the Board of Directors, and currently serves as a Senior Managing Director.
Dr. Inaba earned his Ph.D. in mechanical engineering in 2008 from University of California, Berkeley.
SOURCE – Live coverage of Dr. Kiyonori Inaba, EVP FANUC at TechCrunch Robotics-AI 2019
Written By Brian Wang, Nextbigfuture.com