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学术动态

世界顶尖涉农大学交流合作提升项目“基于多传感器融合的农业机器人自主导航方法”在线系列讲座

发布日期:2021-06-06    浏览次数:

报告题目:

1. Data-driven Perception, Estimation, and Decision Making for Human-Robot-Environment Interaction and Intervention

2. How intelligent autonomous systems benefit from connectivity: Two case studies

 

报告人:

1. Dr. He Kong, Research Fellow at the Australian Centre for Field Robotics, The University of Sydney, Australia (澳大利亚悉尼大学-澳大利亚室外机器人研究中心,研究员)

2. Dr. Mao Shan, Research Fellow at the Australian Centre for Field Robotics, The University of Sydney, Australia(澳大利亚悉尼大学-澳大利亚室外机器人研究中心,研究员)

 

报告时间:

北京时间2021年06月09日(星期三) 上午10:00-12:00

 

线上报告接入方式:

腾讯会议 (VooV Meeting), 会议 ID:537 262 750

 

联系人:

苏道毕力格 sudao@cau.edu.cn

欢迎各位老师同学线上参加。

 

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Seminar Topics:

1. Data-driven Perception, Estimation, and Decision Making for Human-Robot-Environment Interaction and Intervention

2. How intelligent autonomous systems benefit from connectivity: Two case studies

 

International Experts:

1. Dr. He Kong, Research Fellow at the Australian Centre for Field Robotics, The University of Sydney, Australia

2. Dr. Mao Shan, Research Fellow at the Australian Centre for Field Robotics, The University of Sydney, Australia

 

Time:

Beijing Time (UTC +8:00) June 9th, 2021 (Wednesday) 10:00AM-12:00PM

 

Online Meeting:

VooV Meeting, Meeting ID:537 262 750

 

Contact:

Daobilige Su sudao@cau.edu.cn

 

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摘要(Abstracts):

 

1. Data-driven Perception, Estimation, and Decision Making for Human-Robot-Environment Interaction and Intervention

Recent years have witnessed much progress in the research and development of robotic systems and their deployment in practice. The most important underpinning factors for such advancements are arguably the varieties of sensing modalities, the abundance of real data, and advanced learning and decision making frameworks, etc. In this talk, we will summarize our recent work on data-driven perception, estimation, and decision making strategies for robotic systems, and their validation on hardware platforms in the real world involving interaction and intervention among human-robot-environment. The theoretical foundations, their applicability and justification in practice, and some failure scenarios (and how to avoid them!) will be discussed, among others.

 

2. How intelligent autonomous systems benefit from connectivity: Two case studies

This talk will investigate and showcase how a multi-robot system benefits from connectivity in terms of perception and estimation through two recent projects—a smart wheelchair convoy and cooperative perception enabled automated cars. In the first project, it is demonstrated that a multi-robot leader-following system can achieve accurate trajectory estimation and tracking control in the presence of frequent dropouts in vision detection due to the leader robot moving out of view, illumination variation, vision occlusion, motion blurring, etc. Results are obtained based on evaluating the system in tests with a zigzag shaped trajectory and with a trajectory that contains sharp turns. In the other project, a connected and automated vehicle shares its local perception information with others by means of vehicle-to-X (V2X) communication, thereby achieving improved safety and robustness in road transportation. The results from a collection of representative experiments will be presented and discussed.

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简介(Bios):

 

孔贺,男,中国山东菏泽人,本科、硕士、博士分别毕业于中国矿业大学、哈工大(免试保送,指导教师段广仁教授)、澳大利亚Newcastle大学(指导教师澳大利亚两院院士Graham Goodwin教授)。目前为研究员,就职于悉尼大学机器人与智能系统研究中心(Australian Centre for Field Robotics)、澳大利亚工程院院士Salah Sukkarieh教授课题组。曾获国家励志奖学金、纽卡斯尔大学全额奖学金、哈工大优秀毕业生、IFAC 最佳学生论文提名奖(1st IFAC Workshop on Robot Control)等荣誉。研究兴趣主要集中在基于优化的控制与滤波(Receding horizon control/estimation、Estimation under arbitrary unknown inputs等)、野外机器人(Field robotics)及其在精准农业方面的应用、机器人声音学(Robot audition)等。担任《智慧农业(中英文)》青年编委。

 

Dr. Mao Shan received his B.S. degree in electrical engineering in 2006 from Shaanxi University of Science and Technology, Xi'an, China, and the M.S. degree and Ph.D. degree from The University of Sydney, Australia, in 2009 and 2014, respectively. He was a Research Associate at The University of Sydney, Australia, from 2014 to 2016, and a Research Fellow at Nanyang Technological University, Singapore, from 2016 to 2017. Currently, he is a Research Fellow at the Australian Centre for Field Robotics, The University of Sydney, Australia. His research interests include autonomous systems, V2X communication, cooperative perception, sensor fusion, localisation and tracking.




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