Shupeng Lai
Adjunct Assistant Professor at National University of Singapore
Schools
- National University of Singapore
Links
Biography
National University of Singapore
Shupeng Lai is currently a robotics researcher (adjunct assistant professor) at the National University of Singapore. He works on multiple projects including motion planning, control, and navigation of robotic systems.
He receives his Bachelor of Engineering from the Nanyang Technological University in 2012 and his Ph.D. from the National University of Singapore in 2016.
His research interests include motion planning, non-linear model predictive control, multi-agent systems, and aerial-systems.
Education
- Doctor of Philosophy (PhD) National University of Singapore (2012 — 2016)
- Bachelor’s Degree Nanyang Technological University (2008 — 2012)
Companies
- Adjunct Assistant Professor National University of Singapore (2020)
- Senior Research Scientist Microhiggs Technologies Singapore (2020)
- Research Fellow National University of Singapore (2017 — 2020)
Selected Publications
[1] S. Lai, M. Lan, and B. M. Chen, “Model predictive local motion planning with boundary state constrained primitives,” IEEE Robotics and Automation Letters, 2019. [2] S. Lai, M. Lan, and B. M. Chen, “Safe navigation of quadrotors with jerk limited trajectories,” Frontiers of Information Technology and Electronic Engineering, 2019. [3] S. Lai, M. Lan, and B. M. Chen, “Optimal constrained trajectory generation for quadrotors through smoothing splines,” in 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018. [4] S. Lai, K. Wang, H. Qin, J. Q. Cui, and B. M. Chen, “A robust online path planning approach in cluttered environments for micro rotorcraft drones,” Control Theory and Technology, 2016. [5] X. Yang, S. Lai, J. Li, D. Luo, and Y. You, “Concurrent optimal trajectory planning for indoor quadrotor formation switching,” Journal of Intelligent and Robotic Systems, 2018. [6] Y. H. Tan, S. Lai, K. Wang, and B. M. Chen, “Cooperative control of multiple unmanned aerial systems for heavy duty carrying,” Annual Reviews in Control, 2018. [7] J. Q. Cui, S. Lai, X. Dong, and B. M. Chen, “Autonomous navigation of uav in foliage environment,” Journal of Intelligent and Robotic Systems, 2016. [8] M. Lan, S. Lai, Y. Bi, H. Qin, J. Li, F. Lin, and B. M. Chen, “Bit*-based path planning for micro aerial vehicles,” in IECON 42nd Annual Conference of the IEEE, 2016.
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