Personal profile
Personal profile
Name: Chai Runqi Gender: Male Date of birth: 1993.05
Job Title: Associate Professor Job Title: Highest education: Doctor
Subject: Intelligent Information Processing and Control
Talent Program: National Youth Talent Office Location: Room 1011, Building 6, National Defense Science and Technology Park
E-mail: r.chai@bit.edu.cn Contact:
Address: Room 1011, Building 6, National Defense Science and Technology Park, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District, Beijing
Type of Supervisor: Doctoral Supervisor
Job Title: Associate Professor Job Title: Highest education: Doctor
Subject: Intelligent Information Processing and Control
Talent Program: National Youth Talent Office Location: Room 1011, Building 6, National Defense Science and Technology Park
E-mail: r.chai@bit.edu.cn Contact:
Address: Room 1011, Building 6, National Defense Science and Technology Park, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District, Beijing
Type of Supervisor: Doctoral Supervisor
Research Interests
Research Direction
1. Aircraft trajectory optimization
2. Optimal control of unmanned systems
3. Multi-robot intelligent control based on deep learning/Neural network
1. Aircraft trajectory optimization
2. Optimal control of unmanned systems
3. Multi-robot intelligent control based on deep learning/Neural network
Education
Education and Work Experience
Educational Experience:
2011.9-2015.6 North China University of Technology, Bachelor of Information and Computing Science 2015.8-2018.9 PhD in Aviation Science, Cranfield University, UK
2018.9-2021.12 Postdoctoral Fellow, Cranfield University, UK
2021.8-2021.11 Visiting Scholar, University of Manchester, UK
2022.1- Now Associate Professor, School of Automation, Beijing Institute of Technology
Educational Experience:
2011.9-2015.6 North China University of Technology, Bachelor of Information and Computing Science 2015.8-2018.9 PhD in Aviation Science, Cranfield University, UK
2018.9-2021.12 Postdoctoral Fellow, Cranfield University, UK
2021.8-2021.11 Visiting Scholar, University of Manchester, UK
2022.1- Now Associate Professor, School of Automation, Beijing Institute of Technology
Professional Experience
Education and Work Experience
Educational Experience:
2011.9-2015.6 North China University of Technology, Bachelor of Information and Computing Science 2015.8-2018.9 PhD in Aviation Science, Cranfield University, UK
2018.9-2021.12 Postdoctoral Fellow, Cranfield University, UK
2021.8-2021.11 Visiting Scholar, University of Manchester, UK
2022.1- Now Associate Professor, School of Automation, Beijing Institute of Technology
Educational Experience:
2011.9-2015.6 North China University of Technology, Bachelor of Information and Computing Science 2015.8-2018.9 PhD in Aviation Science, Cranfield University, UK
2018.9-2021.12 Postdoctoral Fellow, Cranfield University, UK
2021.8-2021.11 Visiting Scholar, University of Manchester, UK
2022.1- Now Associate Professor, School of Automation, Beijing Institute of Technology
Research Achievement
Scientific Research Awards
Teaching courses, publishing textbooks and teaching results
Teaching Achievements
Fingerprint
Dive into the research topics where Runqi Chai is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Active response mechanism against dynamic propagation attacks in distributed sensor networks
Suo, Y., Chai, R., Chai, S., Garcia, M. & Xia, Y., Feb 2026, In: Information Fusion. 126, 103582.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Citation (Scopus) -
An Efficient and Lightweight Multi-Goal Path Planning Based on Enhanced Sampling Planner
Zhang, R., Chai, R., Chai, S. & Xia, Y., 1 May 2026, In: IEEE Robotics and Automation Letters. 11, 5, p. 5462-5469 8 p.Research output: Contribution to journal › Article › peer-review
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Convex optimization-based parallel trajectory stitching in dynamic environments: A dual-layer trajectory planning framework
Hua, B., Du, Z., Liu, T., Chai, R., Xu, J. & Chai, S., May 2026, In: Control Engineering Practice. 170, 106815.Research output: Contribution to journal › Article › peer-review
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Globally Optimal Motion Planning for Mobile Robots via Topology-Aware Divide-and-Conquer
Zhang, R., Ning, W., Chai, R., Chai, S. & Xia, Y., 2026, (Accepted/In press) In: IEEE/ASME Transactions on Mechatronics.Research output: Contribution to journal › Article › peer-review
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Learning-based trajectory planning for AGVs in dynamic environment
Zhang, R., Xing, Z., Chai, S., Xia, Y. & Chai, R., 1 Mar 2026, In: Expert Systems with Applications. 298, 129616.Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Citations (Scopus)