The 2019 DOBOT Intelligent Manufacturing Challenge (DOBOT IMC) started officially in March and its first round of international competitions enclosed with successes in Japan and Mexico, followed by the second round in May with a dedicated workshop in Hong Kong and a regional competition in Korea. Participants from South Korea, Hong Kong, Japan, Mexico, and etc. all showed great enthusiasm and capabilities to battle for the opportunities to compete in Beijing.
The 2nd WRC Symposium on Advanced Robotics and Automation (WRC SARA 2019) will be held as a special technical meeting during the 2019 World Robot Conference (WRC), Beijing, China, August 20 to August 25. Organized by the China Association for Science and Technology (CAST), Ministry of Industry and Information Technology (MIIT), and Beijing Municipal People’s Government, the first WRC was held in 2015, and has since then continued to grow into the world’s largest-scale and top-level conference for academics and industrialists in Robotics and Artificial Intelligence fields.
Check out these awesome pictures of the WRC preliminary competition in South-west China!
Dobots in the Classroom with High School Students (Part 2)
Team RENi: Hey Chris, thanks for letting us join your class again! We are so impressed with your students and the way they are using the Dobot Magician. We just have to ask, is there something especially unique to Dobot that stimulates or encourages their learning?...
High Schoolers Learn Programming!…And they say it’s Simple?! Part 1
Part 1 When the Dobot Magician landed in the lovely state of New York students were amazed and teachers gave a HUGE thumbs up! In a recent question and answer session with Chris Hurd, a National Master Teacher for Project Lead the Way, some secrets were revealed and...
Molly And The Robot
This video was recently sent to us by Chris Hurd, the 2016 Project Lead the Way, Engineering Teacher of the Year. When asked about his usage of Dobots in High School classrooms in New York, we found his observations to be similar to what we observe when demonstrating...