Office: NPB #3.124
University of Texas San Antonio, San Antonio, Texas

Qi Lu (Luki)


I graduated in July 2019. My new website is [homepage].

I have been an assistant professor in the Department of Computer Science at the University of Texas San Antonio since January 2020. I got my PhD in July 2019 from the Department of Computer Science at the University of New Mexico, USA, advised by Prof. Melanie Moses. I worked on the project of scalable multiple-place foraging algorithm for evolutionary swarm robotics. I was a master student in Software System Engineering at the Aalborg University in Denmark. I got my Bachelor degree in Computer Science from the Hubei University in China.

Gmail: lukey dot lu dot qi dot 19 at gmail dot com
Videos: YouTube Channel
[Google Scholar Citations]

"The greatest truths are the simplest.-- Lao Tzu"

Education

  • University of New Mexico (UNM), Albuquerque, NM, USA. Computer Science, Ph.D. 2019
  • Aalborg University, Aalborg, Nordjylland, Denmark. Computer Science, Master. 2011
  • Guangdong University of Technology, Guangzhou, Guangdong, China. Master. 2010
  • Hubei University, Wuhan, Hubei, China. Bachelor. 2005

    • Employment

  • Assistant Professor, Computer Science, University of Texas San Antonio, January, 2020 - Current
  • Research assistant, Computer Science at UNM, 2015 - 2019
  • Research assistant, Neurology at UNM, 2015
  • Teaching assistant, Computer Science at UNM, 2013 - 2014
  • Software Engineer, BDNA Corporation, Guangzhou, China, 2007
  • Lecturer, Wuhan Police Vocation College, Wuhan, China, 2005 - 2006

    • Research Interests

    My research interests include complex adaptive systems, scalable swarm robotics, autonomous robots, machine learning and neural networks. My previous research includes 3D surface reconstruction, image processing, model checking, software verification, reverse engineering, and education.

    Publications

    Swarm Robotics

    • Dohee Lee, Qi Lu, and Tsz-Chiu Au
      Multiple-Place Swarm Foraging with Dynamic Robot Chains
      IEEE International Conference on Robotics and Automation (ICRA), May, 2021.[Paper][Video]
    • Ning Yang, Qi Lu, Kele Xu, Bo Ding, and Zijian Gao
      Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms
      The International Joint Conference on Neural Networks (IJCNN 2021), April 2021.[Paper]
    • Qi Lu, G. Matthew Fricke, Takaya Tsuno, and Melanie Moses
      A Bio-Inspired Transportation Network for Scalable Swarm Foraging
      IEEE International Conference on Robotics and Automation (ICRA), September, 2020.[Paper][Video]
    • Qi Lu and Melanie E. Moses
      A Bio-Inspired Transporation Network for Scalable Swarm Foraging
      IEEE International Sym. on Multiple-Robot and Multi-Agent Systems (MRS), 2019.[Extended abstract]
    • Qi Lu, G. Matthew Fricke, and Melanie E. Moses
      Comparing Physical and Simulated Performance of a Deterministic and a Bio-inspired Stochastic Foraging Strategy for Robot Swarms
      IEEE International Conference on Robotics and Automation (ICRA), 2019.[Paper][Video]
    • Qi Lu, Joshua P. Hecker, and Melanie E. Moses
      Multiple-Place Swarm Foraging with Dynamic Depots
      The Journal of Autonomous Robots, Jan. 2018.[Paper][Video]
    • Qi Lu, Joshua P. Hecker, and Melanie E. Moses
      The MPFA: A Multiple-Place Foraging Algorithm for Biologically-Inspired Robot Swarms
      IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), Deajeon, Korea. October 2016.[Paper][Video]
    • Qi Lu, Melanie E. Moses, and Joshua P. Hecker
      A Scalable and Adaptive Multiple-Place Foraging Algorithm for Ant-Inspired Robot Swarms
      2016 Robotics: Science and Systems Conference (RSS 2016) workshop, University of Michigan, USA. June 2016.[Paper] [Presentation][Video]
    • Qi Lu, Joshua P. Hecker, Antonio Griego, Tatiana P. Flanagan, and Melanie E. Moses.
      Multiple-Place Foraging Algorithm: A Distributed Foraging Model for Evolutionary Swarm Robotics
      IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), Hamburg, Germany. September 2015.[Poster][Video]

    Surface Reconstruction and Crack Detection

    Software Verification

    Model Checking

    Reverse Engineering

    Mathematics Education

    Genetic and Evolution Algorithms

    Patent

  • Melanie E. Moses, Joshua P. Hecker, and Qi Lu. System and Methods for Multiple-Place Swarm Foraging with Dynamic Depots. Supporting Technology Transfer and Catalyzing, University of New Mexico, 2018.

    • Competition

  • Team leader. Fly Your Ideas Competition, Airbus. Proposed idea: Decision-Support Autonomous Robot Swarms and Geo-Satellite Data Services for the Sustainable Agriculture, 2018-2019.