A workshop on “everything you’ve always wanted to ask about founding a start-up after your PhD, but were to afraid to ask”. These question will be asked at this workshop!
When & Where
Date: Friday 01.10.2021, 16:10-18:10, CET
Location: IROS, Hall 8, https://iros2021.gcon.me/user/hall/8 (If this link does not work, please find us in hall 8 on gcon: https://iros2021.gcon.me)
Robots act in the real world. When deploying machine learning on robots, the continuous and dynamic nature of the physical world raises many challenges which are not encountered in purely digital domains such as Internet search and social networks. As an example, many learning algorithms rely on exploration, which, when deployed on real robots, may potentially result in physically dangerous behaviors and costly wear-and-tear.
The main objective of this workshop is to provide a forum for identifying such challenges, to present state-of-the-art research methods for addressing them, and to highlight best practices for transferring such methods from research to industry. An important question is to identify when learning algorithms could and should be used during a robot lifecycle, how they should be used, and what for.
This workshop thus brings together roboticists from academia and industry, to enable an interactive exchange on the future of robot learning, and best practices on transferring ideas to the real world of industrial competition. The speakers at this workshop all aim at real-world robotic applications of machine learning methods. Furthermore, many speakers are active both in academia and industry.
This workshop is the second edition of “New Horizons for Robot Learning”, the first which was held at IROS 2020 (https://iros.ai-lab.science/).
- David Ha, Google Tokyo
- Prof. George Konidaris, Director of the Intelligent Robot Lab and Assistant Professor at Brown University. Chief Roboticist at Realtime Robotics
- Dr. Moritz Tenorth, CTO at Magazino GmbH.
- Prof. Pieter Abbeel, Director of the Berkeley Robot Learning Lab and Professor at the University of California, Berkeley. Co-founder of covariant.ai.
Dr. Freek Stulp German Aerospace Center (DLR), Institute for Robotics and Mechatronics, Oberpfaffenhofen-Weßling, Germany
Dr. Michael Spranger, Sony AI, Tokyo, Japan
Prof. Stephane Doncieux ISIR, Sorbonne Université/CNRS, Paris, France
Dr. Kim Listmann Bender GmbH
Format and schedule
The workshop is organized as a set of live interviews with global leaders in the field of machine learning and robotics. Questions are tailored to the main workshop topic, and will specifically focus on innovation, i.e. the transition from research ideas to their practical implementation as a product or service. The audience will be able to provide additional questions during the workshop. The insights from the interviews will form the basis for a panel discussion with all the invitees.
|16:10 – 16:20||Introduction|
|16:20 – 16:40||Q&A Moritz Tenorth|
|16:40 – 17:00||Q&A David Ha|
|17:00 – 17:20||Q&A George Konidaris|
|17:20 – 17:40||Q&A Pieter Abbeel|
|17:40 – 18:05||Panel discussion. Moderator: Kim Listmann|
|18:05 – 18:10||Wrap-up and farewell|
The workshop is endorsed by the IEEE RAS TC “Robot Learning”.
The workshop is supported by the EU H2020 project “VERtical Innovation in the Domain of Robotics Enabled by Artificial intelligence Methods” (https://veridream.eu/).