1st "AI for Robotics" Workshop at NAVER LABS Europe - Naver Labs Europe
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workshop AI for Robotics

How AI can help solve the challenges of real-world robotics applications.


Two day  workshop with keynotes, demonstrations and a poster session.

Michel Gastaldo AI for robotics workshop

Michel Gastaldo, director NAVER LABS Europe: Welcome and Opening of the workshop.

How AI can help integrate robots into everyday life. International workshop with leading experts from academia and industry.

Dates: Thursday November 28th and Friday November 29th

Location: NAVER LABS Europe, 6 Chemin de Maupertuis, 38240 Meylan (Grenoble, France). By invitation only.

Remarkable results in computer vision, reinforcement learning, scene understanding and related fields have led to being able to equip robots with AI components so they can operate in the real world. This is a significant shift from the highly-controlled environments they had previously been restricted to, as well as the very clearly defined tasks they were able to undertake in these environments. In the not-too-distant future, we expect that further advances in AI will integrate robots and our interaction with them, into our everyday lives.
In this workshop, we address the question of how AI can help to solve the biggest challenges of real-world robotics applications such as understanding and navigating complex dynamic environments, interacting with humans and learning to accomplish tasks autonomously. The event brings together researchers and experts from different AI and Robotics disciplines to discuss current and future directions of these fields in an informal setting to facilitate the creation of connections and collaborations.

Poster session:

In order to make the workshop more interactive and to give more people the opportunity to actively contribute to the workshop, we will organize a poster session for, e.g., PhD students (or anybody else) to present and discuss their work. For this, we will provide small travel grants of 300 Euro on a first come first serve basis.

Workshop Programme

AI for robotics workshop photos
Some pictures of the workshop speakers, poster sessions and audience. ​
Thursday, 28th November
09:30 Registration
10:00 Welcome
10:15 Marc Pollefeys, ETH Zürich: Mixed Reality and Robotics
11:00 Christian Wolf, INSA & CNRS: Integrating Learning and Projective Geometry for Robotics
12:00 Lunch
13:30 Sangok Seok, NAVER LABS: New Connections Between People, Spaces and Information: Robotics, Autonomous Driving, AI and 5G
14:15 Sangbae Kim, MIT: Robots with Physical Intelligence
15:00 Break
15:30 Vincent Lepetit, ENPC: 3D Scene Understanding from a Single Image
16:15 Torsten Sattler, Chalmers University of Technology: Visual Localization: To Learn or Not to Learn?
17:00 Horst Bischof, Graz University of Technology: Understanding long-term complex activities
17:45 End of day 1
19:15 Social event
Friday, 29th November
09:00 Welcome
09:15 Daniel Cremers, Technische Universität München: Direct Visual SLAM for Autonomous Systems
10:00 Alexandre Alahi, EPFL: Socially-aware AI for Last-mile Mobility
10:45 Martin Humenberger, NAVER LABS Europe: New Approaches in Robot Perception
11:30 Lunch
13:00 Radu Horaud, INRIA: Audio-visual Machine Perception for Socially Interacting Robots

Poster and Demo Session

15:00 Cordelia Schmid, INRIA & Google: Learning to Combine Primitive Skills: A Versatile Approach to Robotic Manipulation
15:45 Closing
16:00 End of day 2

Coming soon: Videos of all keynotes

Keynote abstracts

About the organizers:

NAVER LABS Europe is the biggest industrial AI research center in France and the sister lab, NAVER LABS (Korea), is a leading robotics research organization with robots like the M1X mapping robot, the service platform AROUND, and the 5G connected robot arm AMBIDEX. Both organizations are owned by NAVER Corporation, Korea’s leading internet company and 9th on Forbes 2018 list of the world’s most innovative companies.

Topics include:
  • Solving real-world challenges of robotic applications using AI
  • Operating robots in ever-changing environments
  • AI to improve the interaction between robots and humans
  • How robots can learn from humans to accomplish tasks

Photos: Audience, poster session and back flipping Mini Cheetah

Photos: Keynote speakers