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Marcin Paluch

2 accepted papers

2025

FPGA Hardware Neural Control of CartPole and F1TENTH Race Car

IROS 2025

Latency and computational cost often limit the use of Nonlinear Model Predictive Control (NMPC) in real-time robotics. To address this limitation, our work investigates FPGA-implemented Neural Controllers (NC) trained through supervised learning, mimicking NMPC. We show that inexpensive embedded FPG

Cited by 0SourcecodeScholar
2023

RPGD: A Small-Batch Parallel Gradient Descent Optimizer with Explorative Resampling for Nonlinear Model Predictive Control

ICRA 2023poster

Nonlinear model predictive control often involves nonconvex optimization for which real-time control systems require fast and numerically stable solutions. This work proposes RPGD, a Resampling Parallel Gradient Descent optimizer designed to exploit small-batch parallelism of modern hardware like ne…

Cited by 8SourceScholar