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ntu-caokun/README.md

Hi there 👋

I am a faculty member with College of Electronic and Information Engineering, Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University. I was a Wallenberg-NTU presidential postdoctoral fellow at KTH Royal Institute of Technology, Stockholm, Sweden, host by Prof. Karl Henrik Johansson. I did my PhD at Nanyang Technological University, where I was advised by Prof. Lihua Xie and funded by the STE-NTU Corp Lab. Prior to that, I obtained my bachelor degree at Tianjin University, where I was advised by Prof. Jian S. Dai and Prof. Rongjie Kang. I work on both swarm-level intelligence, focusing on model/learning-based navigation for multi-robot system, and also individual-level intelligence, focusing on design, modelling and control for single robot.

Research interests

  • inverse reinforcement learning/inverse optimal control
  • distributed localization and formation control
  • rigidity theory
  • task / trajectory planning and tracking control
  • continuum/soft robot

Join us 🔥🔥🔥

We are actively looking for self-motivated, passionate, and dedicated undergraduate and graduate students to join our lab as research assistants and postdocs, which will be jointly supervised with professors in Lab of Agent-based Interactive Learning and Autonomous Decision-making.

Ideal candidates should possess a background and project experience in one or more of the following areas:

  • Dynamics and controls
  • Robot modeling, control, and planning
  • Machine learning
  • Computer graphics
  • Computer vision
  • Mathematics
  • Optimization

If you are interested, please submit your application here. We will contact you if we find that your background aligns with the our research directions.

操锟博士现任同济大学电子与信息工程学院特聘研究员。他曾在瑞典皇家理工学院担任Wallenberg-NTU 荣誉博后,合作导师为Karl Henrik Johansson教授。他博士毕业于新加坡南洋理工大学, 导师是Lihua Xie教授。此前,他于天津大学取得学士学位, 导师是Jian S. Dai教授康荣杰教授。他的研究方向包括群体智能(基于模型或学习的多机器人导航)以及单机智能(机器人设计、建模和控制)。

研究方向

  • 逆强化学习、逆最优控制
  • 分布式定位和编队
  • 刚性理论
  • 任务、轨迹规划和控制
  • 连续体、软体机器人

人才招聘 🔥🔥🔥

我们积极寻找有上进心、热情、敬业的本科生和研究生加入我们的实验室,担任研究助理和博士后(相关政策信息),后者将由多智能体交互学习与自主决策实验室团队教授共同指导。

我们希望您具备以下一个或多个领域的背景和项目经验:

  • 动力学和控制
  • 机器人建模、控制和规划
  • 机器学习
  • 计算机图形学
  • 计算机视觉
  • 数学
  • 优化

感兴趣的同学请在此提交申请。我们将联系背景与我们的研究方向相符的申请人。

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