In this workshop a wide range of renowned experts will discuss deep learning techniques at the frontier of research that are not yet widely adopted, discussed, or well-known in the robotics community.
We carefully selected research topics such as Bayesian deep learning, generative models, or deep reinforcement learning for planning and navigation that are of high relevance and potentially groundbreaking for robotic perception, learning, and control. The workshop introduces these techniques to the robotics audience, but also exposes participants from the machine learning community to real-world problems encountered by robotics researchers that apply deep learning in their research.
The workshop is organised in conjunction with the Robotics: Science and Systems conference (RSS) at MIT, Boston, USA and takes place on July 15, 2017.
The following experts have agreed to join the list of speakers for our workshop (and will take part in the panel discussion):
Download the Call for Papers (pdf) here.
The workshop is organised by Dr Niko Sünderhauf, Dr Juxi Leitner, Assoc Prof Milchael Milford, Prof Peter Corke from the Australian Centre for Robotic Vision (ACRV), and Queensland University of Technology (QUT), as well as by Assoc Prof Pieter Abbeel from UC Berkeley.
The workshop is supported by the Australian Centre for Robotic Vision.
For more information, please check the workshop website at http://tinyurl.com/robotdeeplearning.
Australian Centre for Robotic Vision
2 George Street Brisbane, 4001
+61 7 3138 7549