孙 达


Email: dasun@ustc.tsg211.com


主要研究方向:机器人系统的学习与感知、自动化控制、智能算法及应用等


孙达,特任教授,博士生导师。 于2012年和2016年在澳大利亚伍伦贡大学获得学士和博士学位。博士毕业后分别在新加坡国立大学和瑞典厄勒布鲁大学从事科学研究工作。主要研究领域为机器人与智能系统,并以第一或通讯作者身份发表多篇论文在领域权威期刊上,如IEEE TRO、IEEE TPAMI、IEEE TFS、Automatica等。


获奖情况:2016年获国家留学管理委员会优秀自费留学生奖学金。


招生信息:欢迎对机器人相关方向感兴趣的同学与我联系。如果有感兴趣的课题,请发送邮件至 dasun@ustc.tsg211.com 。


十篇代表性论著

1. D. Sun and Q. Liao, A Reactive Approach to Handling Multirobot Collision Based on p-Norm Approximation, IEEE Transactions on Industrial Electronics, vol. 71, no. 8, pp. 9265-9275, 2024.

2. D. Sun and Q. Liao, A Framework of Robot Manipulability Learning and Control and Its Application in Telerobotics, IEEE Transactions on Fuzzy Systems, vol. 32, no. 1, pp. 266-280, 2024.

3. D. Sun and Q. Liao, A Fuzzy Cluster-Based Framework for Robot–Environment Collision Reaction, in IEEE Transactions on Fuzzy Systems, vol. 32, no. 1, pp. 75-89, Jan. 2024.

4. D. Sun, Q. Liao and A. Loutfi, “Type-2 Fuzzy Model-based Movement Primitives for Imitation Learning,” IEEE Transactions on Robotics, vol. 38, no. 4, pp. 2462-2480, 2022. 

5. Q. Liao, D. Sun and H. Andreasson, “Fuzzypsreg: Strategies of fuzzy cluster-based point set registration,” IEEE Transactions on Robotics,  vol. 38, no. 4, pp. 2632-2651, 2022.

6. Q. Liao, D. Sun and H. Andreasson, Point Set Registration for 3D Range Scans Using Fuzzy Cluster-based Metric and Efficient Global Optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 9, pp. 3229-3246, 2021. 

7. D. Sun and Q. Liao, “Asymmetric bilateral telerobotic system with shared autonomy control,” IEEE Transactions on Control System Technology, vol. 29, no. 5, pp. 1855-76, 2021. 

8. D. Sun, Q. Liao and A. Loutfi, Single Master Bimanual Teleoperation System With Efficient Regulation, IEEE Transactions on Robotics, vol. 36, no. 4, pp. 1022-1037, 2020. 

9. D. Sun, A. Kiselev, Q. Liao, T. Stoyanov and A. Loutfi, A New Mixed-Reality-Based Teleoperation System for Telepresence and Maneuverability Enhancement, IEEE Transactions on Human-Machine Systems, vol. 50, no. 1, pp. 55-67, 2020. 

10. D. Sun, Q. Liao, T. Stoyanov, A. Kiselev and A. Loutfi, “Bilateral telerobotic system using Type-2 fuzzy neural network based moving horizon estimation force observer for enhancement of environmental force compliance and human perception,” Automatica, 106, 358-373, 2019. 


(更新于2024年5月)