Program
- Room Name: I ; Workshop ID : ThWF-11
- Zoom link to join the workshop: https://u-pec-fr.zoom.us/j/8756686109?pwd=RjRZQXdoMlJ4QlNUakJtWkFicmRxUT09
Program:
| Time | Talk (RP : Remote Presentation ; F2FP : Face-to-Face Presentation) |
|---|---|
| 09:00 - 09:05 | Welcome from organizers |
| 09:05 - 09:15 | Norihiro Hagita, Vision of a society free from the limitations of body, brain, space, and time by 2050 - Moonshot Goal 1 Research Program (RP) |
| 09:15 - 09:45 | Takato Horii, Towards retoroduction agent: prediction and represent learning in embodied intelligence (F2FP) |
| 09:45 - 10:15 | Yuki Nagai, Developmental Machine Learning: Robots that learn like human children (F2FP) |
| 10:15 - 10:35 | Interactive Poster Session (3 x 4 minute talks) -L. Huber, From Obstacle Avoidance To Motion Learning Using Local Rotation of Dynamical Systems (F2FP) -K. Moulouel, M. Arbane, A. Chibani, G. Khodabandelou and Y. Amirat, Anticipating Human Activities using a Stream Reasoning framework in Partially Observable environments (F2FP) -M. Mayr, F. Ahmad, K. Chatzilygeroudis, L. Nardi and V. Krueger, Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks (F2FP) -Audience Q&A |
| 10:35 - 10:50 | Coffee Break |
| 10:50 - 11:20 | Yu (Tony) Zhang, Model Reflective Planning and Learning of Intelligent Robotic Teammates (RP) |
| 11:20 - 11:50 | Joseph J. Lim, Towards Solving Complex Physical Tasks Via Learning Methods? (F2FP) |
| 11:50 - 12:20 | Sheila McIlraith, Building Taskable Assistive Robots using Reinforcement Learning (RP) |
| 12:20 - 13:20 | Lunch |
| 13:20 - 13:50 | Alexander Artikis, Complex event recognition under uncertainty (RP) |
| 13:50 - 14:20 | Hideki Nakayama, Incorporating External Knowledge for Vision and Language Systems (F2FP) |
| 14:20 - 14:50 | Mohan Sridharan, Back to the Future of Cognitive Robotics: Integrated and Transparent Reasoning, Control and Learning (RP) |
| 14:50 - 15:10 | Interactive Poster Session (3 x 4 minute talks) -H. Goel , L. Jarin Lipschitz, S. Agarwal, S. Manjanna, and V. Kumar, Reinforcement Learning for Agile Active Target Sensing with a UAV (RP) -S. Banerjee, B. Bhowmick and R. Dev Roychoudhury, Object Goal Navigation Based on Semantics and RGB Ego View (RP) -D. Rytz, S. Gangapurwala, W. Merkt, M. Geisert and I. Havoutis, Learning Robust Loco-Manipulation Skills with Hierarchical Deep Reinforcement Learning (RP) -Audience Q&A |
| 15:10 - 15:25 | Coffee Break |
| 15:25 - 15:55 | Tetsuya Ogata, Toward Personal AI-based robots with Deep Predictive Learning (F2FP) |
| 15:55 - 16:25 | Theodore Patkos, Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning (RP) |
| 16:25 - 16:55 | Masoumeh Mansouri, Trustworthy and Explainable Autonomous Robotic Systems: Requirements and Solutions (RP) |
| 16:55 - 17:00 | Closing remarks |