20 citations · 20 across the 5 of their papers we have counts for
5 papers
Chance-Constrained Sampling-Based MPC for Collision Avoidance in Uncertain Dynamic Environments
Ihab S. Mohamed, Mahmoud Ali, Lantao Liu
Navigating safely in dynamic and uncertain environments is challenging due to uncertainties in perception and motion. This letter presents the Chance-Constrained Unscented Model Pr…
SePaint: Semantic Map Inpainting via Multinomial Diffusion
Zheng Chen, Deepak Duggirala, David Crandall +2
Prediction beyond partial observations is crucial for robots to navigate in unknown environments because it can provide extra information regarding the surroundings beyond the curr…
Artificial Neural Network-Based Voltage Control of DC/DC Converter for DC Microgrid Applications
Hussain Sarwar Khan, Ihab S. Mohamed, Kimmo Kauhaniemi +1
The rapid growth of renewable energy technology enables the concept of microgrid (MG) to be widely accepted in the power systems. Due to the advantages of the DC distribution syste…
An Artificial Neural Network-Based Model Predictive Control for Three-phase Flying Capacitor Multi-Level Inverter
Abualkasim Bakeer, Ihab S. Mohamed, Parisa Boodaghi Malidarreh +2
Model predictive control (MPC) has been used widely in power electronics due to its simple concept, fast dynamic response, and good reference tracking. However, it suffers from par…
AutoQ: Automated Kernel-Wise Neural Network Quantization
Qian Lou, Feng Guo, Lantao Liu +2
Network quantization is one of the most hardware friendly techniques to enable the deployment of convolutional neural networks (CNNs) on low-power mobile devices. Recent network qu…