Forum of Artificial Intelligence (AI), Robotics, and Cyber Systems
Saturday, July 21, 2018
Grand Ballroom, Second Floor
Session Chair: Jianwei Zhang, University of Hamburg
Artificial Intelligence (AI) including deep learning techniques achieves remarkable progress and successful applications in areas such as object classification, speech recognition, AlphaGoZero, and so on. Advanced robotics and cyber systems are also paid significant attention in recent years. In this context, this forum aims to provide novel viewpoints by leading experts with different backgrounds covering artificial intelligence, advanced robotics, autonomous vehicles, vision, and cyber systems. By discussion, it is expected that some potential and promising future research directions can be concluded for both the academic and industrial communities.
10:30-10:45
Deep Imitation Reinforcement Learning for Complex Decision-making Tasks
Xin Xu
Professor
Director of the Institute of Unmanned Systems
National University of Defense Technology, China.
Abstract: This talk will present a deep imitation reinforcement learning scheme for complex sequential decision-making tasks which include autonomous driving and playing video games, etc. Human expert data will be used to realize deep imitation learning at first. And Deep reinforcement learning algorithms are integrated with the policy obtained by deep imitation learning for better performance both in terms of learning speed and policy quality. Some experimental results will be provided to show the effectiveness of the proposed scheme.
10:45-11:00
Exploration and Practice of Autonomous Vehicle
Youchun Xu
Professor
Academy of Military Transportation, China
Abstract: This talk will Introduce the technical research and the practice of the autonomous vehicle in the field of the autonomous vehicle in the past 20 years, and the prospects for future development.
11:00-11:15
Learning from Demonstration for Service Robot
Shuo Wang
Professor
Institute of Automation of the Chinese Academy of Sciences
Biography：WANG Shuo is an professor and doctoral supervisor in Institute of Automation of the Chinese Academy of Sciences. From 2011 up to now, he works as a professor in the State Key Lab. of Management and Control for Complex Systems in Institute of Automation of the Chinese Academy of Sciences. His research interests include Intelligent Robots Based on Brain-Inspired Model, Intelligent Control, Learning from Demonstration, Autonomous Operation of Underwater Robots.
11:15-11:30
Design of the Service Robot based on its Representation Space
Jianbo Su
Professor
Shanghai Jiao Tong University, China
Abstract: SLAM and robot interactions are investigated for versatile service in unstructured environments. The representation space is proposed and the optimal strategy for task realization is evolved. Different tasks are demonstrated within the proposef strategy.