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