Update (December 9th, 2019)
Use the hashtag #robotvision2019 on twitter and other social networks
Final program is now available: http://robotvision2019.amtc.cl/index.php/program/
Registration process will take place from 8:45 to 9:15 on Monday 9th. See you on Monday!
The final call for participation is now available:
- New call: Registration for students closes on Wednesday 4th, December 2019. NOW
- New call: Registration for professionals closes on
Monday 2nd, Wednesday 6th December 2019. NOW OPEN
- New call: Application for student travel support grant closes on Friday 29th, November 2019. NOW
Check the call for details:
Check the details for the travel grant application:
Also in PDF.
FIRST Call for participation
The IEEE RAS International Summer School on “Deep Learning for Robot Vision” will be held on December 9-13, 2019 in Santiago & Rancagua, Chile.
The Summer School is co-organized by the Advanced Mining Technology Center of the Universidad de Chile, Chile and the Institute of Engineering Sciences of the Universidad de O’Higgins, Chile. It is co-funded by the IEEE Robotics and Automation Society (RAS) Summer School Program, it is technically sponsored by the IEEE RAS Technical Committee on Robot Learning, and it follows the successful IEEE RAS Summer School on “Robot Vision and Applications” organized in Chile in 2012.
This international Summer School targets students (Master / PhD level and last years of undergraduate), researchers and professionals interested in Robotics, Robot Vision, Deep Learning and related topics. The official language of the summer school is English, and it will include tutorial courses, keynote lectures, a student poster competition, and live demonstrations (autonomous vehicle, robot soccer, domestic robots, etc.).
The Summer School will provide a clear overview of Deep Learning methods in Robotics with a particular emphasis in robot vision, while also providing an in-depth analysis of state-of-the-art research in this area. We plan to have introductory lectures and short advance courses in the following topics: deep learning for robot vision, deep reinforcement learning, deep learning for robot vision under time & hardware constraints, deep learning for 3D reconstruction & SLAM, deep & model-based learning, deep learning for manipulation & grasping, etc.
A detailed program will be available at the Summer school website: http://robotvision2019.amtc.cl