无人系统与自主计算实验室(FAST)博士后招聘


        浙江大学控制科学与工程学院(下面简称控制学院)始建于1956年,建有控制科学与工程、网络空间安全(共建)2个一级学科,其中控制科学与工程学科1988年被确定为国家重点学科,2007年被批准为国家一级重点学科,是国家首批一级学科博士授予点;拥有“工业控制技术国家重点实验室”“工业自动化国家工程研究中心”“工业控制系统安全技术国家工程实验室”和“流程质量优化与控制国际联合研究中心”4个国家级平台和多个省部级基地;2017年,入选国家“双一流”学科建设名单,第四轮全国学科评估为“A+”。

 

        无人系统与自主计算实验室(Field Autonomous Systems & compuTing)主要方向:1)智能无人系统;2)工业智能技术。现承担国家重点研发计划项目(科技部)、工业互联网创新发展工程项目(工信部)、基金项目(国家自然科学基金委)、国家电网项目、大疆(DJI)联合研发项目等;实验室与产业界合作密切、与国外同类顶尖实验室保持紧密合作关系;曾获国际空中机器人大赛冠军(2014年 – 2018年第七代任务)、DJI机甲大师全球人工智能挑战赛一等奖(2019年)、世界机器人帆船大赛总冠军(2019年)等荣誉。更多信息请访问:www.kivact.com。目前招聘博士后若干名,研究方向为

  • 无人系统实时导航与控制(运动控制、视觉导航、轨迹规划等)
  • 工业智能系统与信息处理(工业视觉、机器学习、控制系统等)

 

申请条件(应同时具备)

  • 欢迎控制、应用数学、计算机、电子信息、电气、机械、航空航天等(但不限于以上)跨学科优秀博士毕业生联系申请。
  • 具有良好师德师风,有较好的学术发展潜力和合作精神。
  • 申请者一般应为毕业3年内的优秀博士毕业生,身体健康,年龄原则上不超过35周岁。

 

工作待遇

  • 博士后年薪一般为15 – 30万,学院提供一定的科研启动经费。
  • 博士后在站时间由学院、合作导师和博士后本人根据研究项目和内容需要在2 – 6年内灵活确定,在站期间可申请租住学校教师公寓,人事关系进入学校后从事博士后研究工作3年及以上的博士后,可按学校相关规定申报学校高级专业技术职务。
  • 学校和学院鼓励博士后出站后积极应聘校内外专业技术岗位,并将博士后作为学校教学、科研、成果转化等岗位选聘的重要来源。
  • 鼓励和支持博士后研究人员申报博士后国际交流计划、博士后科学基金以及其他国家与地方的科技项目和博士后资助项目。

 

材料(含简历、代表作)请寄wuwenjuan@zju.edu.cn,并注明“FAST-Lab Postdoc Application”,招满为止;咨询请联系cxu@zju.edu.cn(许超)、fgaoaa@zju.edu.cn(高飞) 

 


Security in Cyber-Physical Systems: A Control Systems Perspective


Title: Security in Cyber-Physical Systems: A Control Systems Perspective

演讲人:Prof. Petros Voulgaris, UIUC, Fellow of IEEE

  • 浙江大学玉泉校区工控新楼105教室
  • 时间:2018年10月26日(星期五)下午3点

Abstract:

Cyber-physical systems (CPS) have become ubiquitous in engineering and have extended the range of aerospace applications to several new domains. Unmanned Arial Vehicles (UAV) are typical examples of CPS that can execute cooperative missions of increasing complexity without constant supervision of human operators e.g., military reconnaissance and strike operations, border patrol missions, forest fire detection, police surveillance, and recovery operations to name a few. Similarly, current and future space applications such as satellite swarms and distributed spacecraft systems, autonomous and aerospace robotic systems, depend critically on the synergy of cyberspace with the physical components.

Pertinent to CPS is the notion of security, which is of paramount importance in aerospace, power, transportation, manufacturing, etc. The concept of security to malicious attacks brings an important new dimension in the design CPS.  In this talk, we present some aspects of this problem related to control system security to attacks and provide some ways to enhance detection and awareness. More specifically, we elaborate on this issue from the control analysis, design and actual implementation point of view. We consider malicious attacks on actuators and sensors of a feedback system which can be modelled as additive, possibly unbounded, disturbances at the digital (cyber) part of the feedback loop. It is shown that the standard sampled data implementation can create additional vulnerabilities to stealthy attacks, and therefore, when security is at stake, it is of paramount importance to have methods to eliminate these vulnerabilities. By devising a multi-rate scheme we can guarantee that stealthy attacks are not possible.  Further, we can provide precise trade-offs on performance and safety cost. Finally, we touch upon other type of attacks and their connections to switching systems and linear programming.

Short Bio:

Professor Petros G. Voulgaris received the Diploma in Mechanical Engineering from the National Technical University, Athens, Greece, in 1986, and the S.M. and Ph.D. degrees in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 1988 and 1991, respectively.  Since 1991, he has been with the Department of Aerospace Engineering, University of Illinois where he is currently a Professor (also appointments with the Coordinated Science Laboratory, and the department of Electrical and Computer Engineering.)  His research interests include optimal, robust and distributed control and estimation; networked control; applications of advanced control methods to engineering practice including, power systems, air-vehicle, nano-scale, robotic, and structural control systems.  Dr. Voulgaris is a recipient of several awards including the NSF Research Initiation Award, the ONR Young Investigator Award and the UIUC Xerox Award for research.  He has also been a Visiting ADGAS Chair Professor, Mechanical Engineering, Petroleum Institute, Abu Dhabi, UAE (2008-10).  His research has been supported by several agencies including NSF, ONR, AFOSR, NASA, and Boeing totalling more than $12 million of funded projects.  He is also a Fellow of IEEE.


ZMART / Sailing Got the 3rd Place of WRSC 2018


World Robotic Sailing Championship

“The 3rd place of WRSC 2018 Micro-sailboat class goes to Zhejiang University! As first time participants, the made their boat within 2 months. Well done and congratulations!”

Congratulations to the ZMART / Sailing Group!


New Definition, New Vision and New Missions for ZMART


After several years explorations and research in robotics, we currently have new definition for ZMART, which was named in 2012 as ZJU’s Micro-Aerial Robotics Team when we first attend the IARC (the International Aerial Robotics Competition).

In 2018, we organized two more groups to attend the other two exciting competitions, including the ICRA 2018 DJI RoboMaster AI Challenge Overview and the 11th World Robotic Sailing Championship.

Based on the new activities, the BLUe Lab is going to give a new meaning for the ZMART, ZJU’s Micro Agents and Robotics Team. Then, ZMART / Aerial / Ground / Sailing represents different teams corresponding to IARC, DJI RoboMaster and WRSC, respectively.


ZMART made a record in the IARC history


2018年8月27日,经国际空中机器人大赛(IARC)委员会评定,浙江大学代表队ZMART以综合评分第一、比赛成绩第一,获得IARC第七代任务世界冠军,赢得2万美元比赛奖金。浙江大学成为继斯坦福大学(1995),卡耐基梅隆大学(1997),柏林工大(2000),佐治亚理工(2008),麻省理工(2009),清华大学(2013)之后IARC第七个世界冠军得主。自此第七代任务结束,IARC比赛进入第八代任务。

News featured in the media include:

“Mission 7 took a monumental leap by requiring autonomous aerial robots to interact with and control autonomous ground robots. Teams were tasked with developing systems to herd ground robots out one end of an arena in the absence of 3D cues such as walls. The ground robots could only be interacted with by touch. A top touch would command a 45° clockwise turn and a blocking action would result in a 180° turn. To complicate matters, the ground robots do a 180° turn every 20 seconds and add up to 15 degrees of trajectory noise every 5 seconds. The ground robots also impact one another and quickly devolve into non-deterministic travel. In the midst of the arena were four obstacle robots to complicate navigation and obstacle avoidance. The aerial robots had to dynamically determine a best course of action to keep the ground robots from exiting on three of four sides of the arena. In the top performances, which were replicated multiple times, the Zhejiang University team showed that its autonomous aerial robot could track individual ground robots, redirect them in either 45° or 180° increments while at the same time staying within the arena boundaries and avoiding the mobile obstacles circulating within the arena.”