Ajinkya Chaudhary

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About

Ajinkya Chaudhary is an emerging researcher specializing in autonomous surface vehicles (ASVs) and intelligent control systems, with a particular focus on the intersection of machine learning and marine robotics. His most notable work addresses one of the fundamental challenges in autonomous maritime operations — station keeping under environmental disturbances. In his 2024 paper, "ASV Station Keeping under Wind Disturbances Using Neural Network Simulation Error Minimization Model Predictive Control," Chaudhary proposes an innovative control framework that integrates neural network-based simulation error minimization with model predictive control (MPC) to enable ASVs to maintain precise positioning even under significant wind disturbances. This contribution is particularly relevant for applications in confined waterways, collaborative multi-vehicle missions, and survey operations where positional accuracy is critical. Accumulating 5 citations since its publication, this work has already begun attracting attention within the marine autonomy and control systems communities. Chaudhary's research bridges classical control theory with modern deep learning techniques, positioning him as a promising voice in the rapidly evolving field of intelligent autonomous maritime systems.