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

Qi Lu (Luki)


I have been a fix-term assistant professor in the Department of Computer Science at the University of Texas San Antonio since January 2020. I was a visiting professor at the Northern New Mexico College in August 2019. 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 jointed master student in Computer Science at the Aalborg University in Denmark. I got my Master degree in Computer Engineering from the Guangdong University of Technology in China. I got my Bachelor degree in Computer Science from the Hubei University in China.

[Personal website]
UTSA email: qi dot lu at utsa dot edu
Gmail: lukey dot lu dot qi dot 19 at gmail dot com
Videos: YouTube Channel
[Google Scholar Citations]
[Curriculum Vitae]

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

News

  • 03/2021: The joint work on branching robot chains is submitted to [IROS 2021]
  • 03/2021: Congratulations! The joint work on dynamic robot chain for foraging swarms is accepted to [ICRA 2021]
  • 02/2021: The jointed work with the National University of Defense Technology (China) on multiple RL for swarm robotics is submitted to [IJCNN 2021]
  • 12/2020: My US patent on Multiple-Place Swarm Foraging with Dynamic Depots is approved.[Details]
  • 12/2020: After a one-year effort, my course evaluation rate reaches 4.3/5 in my two classes in Fall 2020.
  • 11/2020: I am the PI in the NSF CRII grant proposal and the proposal was submitted on Nov. 3rd, 2020.
  • 10/2020: The joint work with the Ulsan National Institute of Science and Technology (South Korea) on dynamic robot chains is submitted to [ICRA 2021].
  • 08/2020: My first-author review paper on Foraging Swarm Robotics is accepted to the Journal of Current Robotics Reports. [Details]
  • 05/2020: My first-author paper on Scalable Foraging Robot Swarms is accepted to [ICRA 2020].[Details]
  • 01/2020: Dr. Lu joined the Department of Computer Science at the University of Texas-San Antonio.
  • Education

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

  • Assistant Professor of Practice, Computer Science, University of Texas San Antonio, January, 2020 - Current
  • Visiting professor, Northern New Mexico College, August, 2019 - January, 2020
  • 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 Vocational 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.

    Teaching

    • CS5163/3753 Introduction to Data Science: Spring 2021[Syllabus], Fall/Spring 2020

    • CS3333 Mathematical Foundation for CS: Spring 2021[Syllabus], Fall/Summer/Spring 2020

    • CS4913 Independent Study: Spring 2021

    • EECE132 Computer Networks: Fall 2019

    • EECE152L Computer Programming I: Fall 2019

    • Data Structure and Algorithm: Spring 2006

    • Introduction to C Programming: Spring 2006

    • Computer Architecture: Fall 2005

    • Introduction to Java Programming: Fall 2005

    Publications

    Swarm Robotics

    • Ning Yang, Qi Lu, Kele Xu and Bo Ding.
      Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms.
      The International Joint Conference on Neural Networks (IJCNN 2021), Feburary 2021 (under review).
    • Dohee Lee, Qi Lu, and Tsz-Chiu Au
      Multiple-Place Swarm Foraging with Dynamic Robot Chains.
      IEEE International Conference on Robotics and Automation (ICRA 2021), May 2021 (accepted)
    • Qi Lu, G. Matthew Fricke, John Ericksen, and Melanie Moses
      Swarm Foraging Review: Closing the Gap Between Proof and Practice.
      Journal of Current Robotics Reports, Springer, June 2020.[link][PDF]
    • 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), May, 2020. [link][PDF][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][link]
    • 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.[link][PDF][video]
    • Qi Lu, Joshua P. Hecker, and Melanie E. Moses
      Multiple-Place Swarm Foraging with Dynamic Depots
      The Journal of Autonomous Robots, Jan. 2018.[link][PDF] [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.[link][PDF] [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

    • Yuming Zhang, Cong Chen, Qiong Wu, Qi Lu, Su Zhang, Guohui Zhang, and Yin Yang.
      A Kinect-Based Approach for 3D Pavement Surface Reconstruction and Cracking Recognition
      IEEE Transactions on Intelligent Transportation Systems, 2018.[link][PDF]

    Software Verification

    • Deepak Kapur, Zhihai Zhang, Matthias Horbach, Hengjun Zhao, Qi Lu, and ThanhVu Nguyen.
      Geometric Quantifier Elimination Heuristics for Automatically Generating Octagonal and Max-plus Invariants
      Automated Reasoning and Mathematics: Essays in Memory of William McCune, LNAI 7788, 189-228. April. 2013.[link]

    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, 2020.
  • 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.