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Welcome to the Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics 2016 

Integrating high-level and low-level cognitive capabilities is essential for developing robotic systems that can adaptively act in our daily environment in active collaboration with humans. 

The main objective of this workshop is to share knowledge about the state-of-the-art machine learning methods that contribute to modeling high-level cognitive capabilities in robotics, and to exchange views among cutting-edge robotics researchers who are interested in adaptive high-level cognitive capabilities in robotics.

This workshop will bring together researchers from cognitive robotics, speech processing, artificial intelligence, machine learning, computer vision, and natural language processing to discuss the current challenges in machine learning methods 
for high-level cognitive capabilities in robotics.

We hope this workshop bring us further understanding of human intelligence and creating cutting-edge robotics technologies.

The workshop will take place at IROS 2016.

News

Date 
  • Deadline for submission of poster paper August 22, 2016 (EXTENDED)    closed
  • Deadline for submission of Camera-ready paper September 14, 2016
    • Camera-ready paper can be extended up to 4 pages.
  • The presentation date: October 14, 2016

  • Takayuki Nagai, The University of Electro-Communications
  • Tetsuya Ogata, Waseda University
  • Emre Ugur, Bogazici University
  • Yiannis Demiris, Imperial College London
  • Tadahiro Taniguchi, Ritsumeikan University, Japan,

Endorsements
ML-HLCR 2016 is endorsed by following committees.