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.
(October 14, 2016) We finished the workshop very successfully!! Thank you very much for your participation! Please find the presentation materials at invited speakers page.
(October 2, 2016) Proceedings (camera ready papers) have been uploaded
(September 7, 2016) Final program and Instruction for presentations are updated.
(September 1, 2016) We announced accepted papers for the workshop.
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,
ML-HLCR 2016 is endorsed by following committees.