AI for Robotics

AI for Robotics

Robots, and autonomous agents in general, have become common place in industrial settings to execute carefully controlled tasks, but their presence in the home and office is not yet quite so well established. Safety issues and a lack of autonomy are the main barriers to this adoption which we believe can be overcome by using artificial intelligence. Our goal is to use AI to make robots a part of our everyday spaces to help and assist us in our everyday lives.

Robust navigation and localization in dynamic environments, with or without precise maps or high-precision 3D perception.

Learning to accomplish diverse tasks with minimal supervision from humans.

Robot interaction with humans and understanding human language or gestures.

One reason robots lack autonomy is that they simply do not have the ability to acquire and apply ‘common sense knowledge’ to accomplish tasks without being provided with detailed instructions. For example, humans typically don’t need a map to help them leave a room – pinpointing where the door is situated is enough to know where to head for. When we go to pick up a glass of water, we don’t need a detailed physical model describing the conservation of energy or the laws of gravity. In both cases, we apply reasoning and the common sense we’ve garnered from experience.

Similarly, if we know how to pick up a glass at home, we can easily pick up a glass in a restaurant on the other side of the world because we transfer skills to different contexts.  We believe that robots also need to be able to transfer acquired knowledge to new contexts or domains just like people, and, ideally without relying too much on human supervision.

As we try to teach robots the capacity for common sense and the ability to adapt to a wide range of contexts, we want them to acquire it from past experience but also by taking appropriate exploratory actions. Being equipped with these capacities will allow robots to operate in real-world environments and perform useful tasks in collaboration with people. To reach this goal, we focus our research on the following areas: navigation, human-robot interaction and physical interaction with the environment.



Agents are becoming more artificially intelligent but a number of problems must be solved before we can unleash them into our physical world (i.e. robots) and trust them in our digital one. Blog article by Christopher Dance
Julien Perez podcast
In this podcast, Julien Perez talks about the 3rd Robot Learning Workshop which he co-organised at NeurIPS 2020.


2021 AI for Robotics workshop

2nd international AI for Robotics Workshop by NAVER LABS Europe:  29th – 30th November 2021.

Online event – registration is free.
Great line-up of speakers and a best poster award of 1000€.

1st AI for Robotics Workshop at NAVER LABS Europe in November 2019.

NAVER LABS Europe is a co-organiser of the Robot Learning Workshop at NeurIPS (2021, 2020).


Related Content

This web site uses cookies for the site search, to display videos and for aggregate site analytics.

Learn more about these cookies in our privacy notice.


Cookie settings

You may choose which kind of cookies you allow when visiting this website. Click on "Save cookie settings" to apply your choice.

FunctionalThis website uses functional cookies which are required for the search function to work and to apply for jobs and internships.

AnalyticalOur website uses analytical cookies to make it possible to analyse our website and optimize its usability.

Social mediaOur website places social media cookies to show YouTube and Vimeo videos. Cookies placed by these sites may track your personal data.