Paper

A paper was accepted to the IEEE SMC 2023 on novel physics-informed machine learning for dynamical systems.

A paper was accepted to the IEEE Intelligent Vehicles Symposium (IV) 2023 on physics-constrained motion prediction for vehicles.

Two papers from our lab were accepted to the IFAC World Congress 2023, on autonomous driving and real-time distributed trajectory planning.

Paper on microalgal density estimation using LASSO and image texture features was accepted to the journal Sensors.

Two papers from our lab were accepted to the American Control Conference 2023, on physics-informed machine learning and distributed trajectory planning.

Three collaborative papers were accepted to the 2023 SPIE Defense + Commercial Sensing (DCS23) conference.

Paper on novel algorithm for collision-free trajectory planning for multiple vehicles using ADMM was accepted to IROS 2022.

Paper on novel multi-step prediction method for adaptive sampling was accepted to the IEEE Access Journal.

Paper on ADMM-based adaptive sampling for nonholonomic robots was accepted to the IEEE Sensors Journal.

Paper on distributed experiment design and control for multi-agent systems was accepted to CDC 2021.