Publications
An updated list of all publications can be found on my Google Scholar profile.
Journal Articles

Simultaneous Spatial and Temporal Assignment for Fast UAV Trajectory Optimization using Bilevel Optimization
Q. Chen, S. Cheng, N. Hovakimyan
IEEE Robotics and Automation Letters, vol. 8, no. 6, pp. 3860–3867, 2023
link | arXiv
TLDR: Proposes a bilevel optimization framework for jointly assigning UAV waypoints in space and time to achieve efficient navigation through constrained environments.
Q. Chen, S. Cheng, N. Hovakimyan
IEEE Robotics and Automation Letters, vol. 8, no. 6, pp. 3860–3867, 2023
link | arXiv
TLDR: Proposes a bilevel optimization framework for jointly assigning UAV waypoints in space and time to achieve efficient navigation through constrained environments.
Preprints

GRaD-Nav: Efficiently learning visual drone navigation with Gaussian radiance fields and differentiable dynamics
Q. Chen, J. Sun, N. Gao, J. Low, T. Chen, M. Schwager
Under review at IROS 2025
arXiv | project
TLDR: We propose a vision-based drone navigation framework that leverages differentiable dynamics and Gaussian radiance fields for sample-efficient learning and robust generalization.
Q. Chen, J. Sun, N. Gao, J. Low, T. Chen, M. Schwager
Under review at IROS 2025
arXiv | project
TLDR: We propose a vision-based drone navigation framework that leverages differentiable dynamics and Gaussian radiance fields for sample-efficient learning and robust generalization.

Autotuning Bipedal Locomotion MPC with GRFM-Net for Efficient Sim-to-Real Transfer
Q. Chen, J. Li, S. Cheng, N. Hovakimyan, Q. Nguyen
Under review at IROS 2025
arXiv | project
TLDR: This work introduces GRFM-Net for modeling bipedal robot actuation and proposes an MPC autotuning pipeline that enables robust sim-to-real locomotion transfer.
Q. Chen, J. Li, S. Cheng, N. Hovakimyan, Q. Nguyen
Under review at IROS 2025
arXiv | project
TLDR: This work introduces GRFM-Net for modeling bipedal robot actuation and proposes an MPC autotuning pipeline that enables robust sim-to-real locomotion transfer.