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Tim Verbelen    
   

 

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Bio

TIM VERBELEN, IMEC
SENIOR RESEARCHER

Tim Verbelen received his M.Sc. degree in Computer Science from Ghent University, Belgium in June 2009. In July 2013, he received his Ph.D. degree with his dissertation "Adaptive Offloading and Configuration of Resource Intensive Mobile Applications". In October 2014, he joined iMinds IoT lab working on distributed intelligence for supporting the next generation IoT applications. As of October 2016, he works as senior researcher at imec on deep learning in distributed and resource-constrained environments.

Since 2013, Tim is a committer of the Eclipse Foundation, contributing to the Concierge project, a lightweight OSGi core implementation. As of October 2014, he is also active as Invited Researcher of the OSGi Alliance.

 

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Presentation abstract

TEACHING YOUR ROBOT NEW TRICKS FROM DISTRIBUTED SENSOR INPUTS

Programming autonomous machines is hard, as this often comprises processing high dimensional sensor input and translate this into accurate motor actuation. Moreover, with the rise of the Internet of Things even more sensor inputs are available, albeit distributed in the network. A much more attractive programming paradigm is to specify the desired end goal only, and let the robot learn itself the optimal policy to achieve this goal. In this talk we will cover some of the research challenges towards self-learning robots, and show how we enable a robot to learn from multiple, distributed sensor inputs as well as from other robots connected via the Internet.

 

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