Time |
Event |
Chair |
8:30-9:00 |
Welcome and introduction by the organizers (Introduction by Takayuki Nagai) |
Tadahiro Taniguchi |
9:00-9:50 |
Invited talk 1: Jun Tani, KAIST "How can we develop deep mind of robots?" |
Emre Ugur |
9:50-10:10 |
Coffee break |
| 10:10-11:00 |
Invited talk 2: Justus Piater, University of Innsbruck "Bootstrapping Complex Skills by Building on Experience" |
Emre Ugur |
11:00- 12:00 |
Oral session 1. Peer Neubert, Stefan Schubert and Peter Protzel Learning Vector Symbolic Architectures for Reactive Robot Behaviours 2. Tomoaki Nakamura, Kensuke Iwata, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Asoh Hideki and Masahide Kaneko Continuous Motion Segmentation Based on Reference Point Dependent GP-HSMM 3. Eri Kabayama, Attamimi Muhammad, Ichiro Kobayashi, Hideki Asoh, Daichi Mochihashi, Tomoaki Nakamura, Takayuki Nagai Evaluation of the Sentences Generated Based on Language Model Applied by Zero-shot Learning 4. Akira Taniguchi, Tadahiro Taniguchi and Angelo Cangelosi Multiple Categorization by iCub: Learning Relationships between Multiple Modalities and Words |
Tadahiro Taniguchi |
12:00-13:20 |
Lunch break |
|
13:20-15:40 |
Invited talk 3 Xavier Hinaut, INRIA "Reservoir Computing for Robot Language Acquisition"
Invited talk 4 Kuniaki Noda, Waseda University "Multimodal Integration Learning of Robot Behaviors using Deep Learning"
Invited talk 5 Tadahiro Taniguchi, Ritsumeikan University "Nonparametric Bayesian Word Discovery for Symbol Emergence in Robotics"
Invited talk 6 Komei Sugiura, NICT "Cloud robotics for building conversation robots" |
Takayuki Nagai |
15:40-16:00 |
Coffee break |
|
16:00-16:30 |
Spotlight talks 1. Lorenzo Jamone, Giovanni Saponaro, Atabak Dehban, Alexandre Bernardino, Jos´e Santos-Victor Bayesian modeling of object and tool affordances 2. Rico Jonschkowski and Oliver Brock Towards Combining Robotic Algorithms and Machine Learning: End-To-End Learnable Histogram Filters 3. Francesco Riccio, Roberto Capobianco and Daniele Nardi Using Spatio-Temporal Affordances to Represent Robot Action Semantics 4. Hiroki Yokoyama and Hiroyuki Okada Learning non-parametric policies as random variable transformations |
Tadahiro Taniguchi |
16:30-17:50 |
Poster session |
|
17:50-18:20 |
Panel discussion & Closing remarks |
Takayuki Nagai |
An oral talk has 12 min. for presentation and 3 min. for question and answer, and a spotlight talk has 5 min. for presentation and 2 min. for question and answer approximately.
During WS dates (Mon and Fri), coffee will be provided in below time. 10:00-10:30am 15:30-16:00pm
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