清大电机多目标控制实验室 联络方式： 邱伟育老师 Wei-Yu Chiu 03-4638800 ext 7127 (This contact No. is valid before July 31, 2017) [email protected] http://oz.nthu.edu.tw/~d9564901/ 研究兴趣： 群机器人控制 (Swarm Robot Control) 智慧电网 (Smart Grid) 智慧计算与人工智慧 (Computational Intelligence and Artificial Intelligence) # Swarm Robot Control This research topic focuses on controlling a swarm of mobile robots (40-50 rob ots) that are good at particular functions. Having robot diversity should pay off when robots are deployed to address a dynamically changing environment. Sp ecific topics include: 1) Systems perspective on a swarm of robots for outdoor exploration; 2) Multiobjective control approach to leader selection in formation control; 3) Adaptive formation control. # Smart Grid Smart grid research has gained much momentum because it can lead to significan t reduction in carbon emissions, efficient energy use, resilient and self-heal ing power systems, new energy markets, etc. Due to the integration of renewabl e energy sources into power grids, the underlying power system can suffer from intermittent, stochastic power inputs from time to time, introducing new chal lenges. My research interests include: 1) Multiobjective aggregator design; 2) Privacy protection and utility maximization; 3) Electric vehicle charging s cheduling. We have several renowned collaborative institutions such as Princeton Universi ty (USA), Durham University (UK), and Industrial Technology Research Institute (Taiwan). # Computational Intelligence and Artificial Intelligence This research focuses on algorithm development for real-world applications, e. g., route planning for a swarm of robots and smart grid system designs. Relate d algorithms involve multiobjective evolutionary algorithms, machine learning algorithms, and deep learning algorithms. Our research collaborators include S chool of Electrical and Computer Engineering, Oklahoma State University (USA) and Industrial Technology Research Institute (Taiwan). Our group has published 1 journal paper in IEEE Trans. Evolutionary Computation (top 1%), illustratin g our early success and strong background. --

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