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Intelligent Robots that are inspired by Nature

创建时间:  2017/07/16  谢姚   浏览次数:   返回

报告题目 Intelligent Robots that are inspired by Nature
报告人: 胡豁生教授(英国University of Essex)
时间: 2017年7月17日(周二)下午2点
地点: 1066vip威尼斯延长校区电机楼202会议室
报告摘要:
In general, today’s robots face four kinds of major challenges. Firstly, they have to deal with uncertainty within the systems, such as sensor noise, actuator inaccuracy, and components failure. Secondly, they have to handle huge uncertainties in the real world, which is dynamically changing over time. Thirdly, they have to learn something new from their daily operations for adaptation to new environments and new tasks. Finally, they should have an intuitive way to interact with general public for successful deployment in our society. Inspired from nature, robotics researchers are currently working on an evolutionary transformation from biosystems to intelligent robots. As a result, these robots are autonomous, interactive and intelligent, which are benefited from bio-principles, bio-processes and bio-mechanisms in nature. In this talk, I will briefly overview the current state of art robotics technologies, and present some research work toward the development of advanced biologically inspired robots. More specifically, biosystem modelling, service robots, smart wheelchairs and swarm robotics are discussed respectively, and some preliminary results are demonstrated via video.
 
报告人简介:
Huosheng Hu is a Professor in the School of Computer Science & Electronic Engineering at the University of Essex, U.K., leading the human-centred robotics research. He received the PhD degree in robotics from the University of Oxford in the U.K. His research interests include behaviour-based robotics, human-robot interaction, embedded systems, data fusion, learning algorithms, intelligent mechatronics, and pervasive computing. He has published over 500 papers in journals, books and conferences in these areas, and received a number of best paper awards. Prof. Hu is a Fellow of Institute of Engineering & Technology, a Fellow of Institute of Measurement & Control, a senior member of IEEE and a founding member of IEEE Robotics & Automation Society Technical committee on Networked Robots. He has been a Program Chair or a member of Advisory/Organising Committee for many international conferences such as IEEE IROS, ICRA, ICMA, and ROBIO conferences. He is currently Editor-in-Chief for International Journal of Automation and Computing, Editor-in-Chief of Robotics Journal and Executive Editor for International Journal of Mechatronics and Automation.

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