Wojciech Giernacki

Assistant Professor

Poznan University of Technology

Poland

Research Interests

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About

Wojciech Giernacki is an Assistant Professor at Poznan University of Technology in Poland. His research areas include unmanned aerial vehicles, deep reinforcement learning, and image enhancement technologies, as evidenced by his recent publications on topics such as efficient blind-guiding systems and energy consumption in UAV batteries. His work incorporates advanced methodologies like artificial potential fields and neural networks, contributing to innovations in both automation and aerial vehicle design.

Articles (23)

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2025

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2022

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2022

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2022

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2021

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2021

Collaborators (8)

Huynh Anh Duy Nguyen

Lecturer

AUSTRALIA

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Dariusz Horla

Poznan University of Technology

POLAND

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Marcin Chodnicki

Wojskowy Instytut Medyczny

POLAND

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Slawomir Jan Stepien

Poznan University of Technology

POLAND

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Marek Nowakowski

Assistant Professor

Military Institute of Armament Technology

POLAND

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Quang Ha

Associate Professor

University of Sydney

AUSTRALIA

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Vojtech Spurny

Czech Technical University in Prague

CZECH REPUBLIC

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Andrzej Łukaszewicz

Bialystok University of Technology

POLAND

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Wojciech Giernacki

Research Interests

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About

Articles (23)

Image-enhancement-EfficientNet-YOLOv3: Visual detection for slag pot transfer in harsh steelmaking plant environments

Multi-UAV Virtual Tube Planning Based on the Artificial Potential Field-A* Algorithm and the Douglas–Peuker Algorithm

Research on a Visually Assisted Efficient Blind-Guiding System and an Autonomous Shopping Guidance Robot Arm Adapted to the Complex Environment of Farmers’ Markets

Fault Detection and Diagnosis Methodologies for Unmanned Aerial Vehicles: State-of-the-Art

Energy consumption and efficiency degradation predictive analysis in unmanned aerial vehicle batteries using deep neural networks

A deep reinforcement learning approach and its application in multi-USV adversarial game simulation

ISFORS-MIX: Multi-agent reinforcement learning with Importance-Sampling-Free Off-policy learning and Regularized-Softmax Mixing network

Azimuthal Solar Synchronization and Aerodynamic Neuro-Optimization: An Empirical Study on Slime-Mold-Inspired Neural Networks for Solar UAV Range Optimization

Quadcopter Unmanned Aerial Vehicle Structural Design Using an Integrated Approach of Topology Optimization and Additive Manufacturing

PADRE – A Repository for Research on Fault Detection and Isolation of Unmanned Aerial Vehicle Propellers

MRAS Using Lyapunov Theory with Sliding Modes for a Fixed-Wing MAV

Review on Type of Sensors and Detection Method of Anti-Collision System of Unmanned Aerial Vehicle

Vibration Signal Processing for Multirotor UAVs Fault Diagnosis: Filtering or Multiresolution Analysis?

Power Sources for Unmanned Aerial Vehicles: A State-of-the Art

UAV Fault Detection Methods, State-of-the-Art

Minimum Energy Control of Quadrotor UAV: Synthesis and Performance Analysis of Control System with Neurobiologically Inspired Intelligent Controller (BELBIC)

A modified random network distillation algorithm and its application in USVs naval battle simulation

Hybrid Quasi-Optimal PID-SDRE Quadrotor Control

An Acoustic Fault Detection and Isolation System for Multirotor UAV

Position Control of Quadrotor UAV Based on Cascade Fuzzy Neural Network

Sea-Surface Target Visual Tracking with a Multi-Camera Cooperation Approach

Trajectory Tracking with Adaptive Robust Control for Quadrotor

AL-TUNE: A Family of Methods to Effectively Tune UAV Controllers in In-flight Conditions

Collaborators (8)

Huynh Anh Duy Nguyen

Dariusz Horla

Marcin Chodnicki

Slawomir Jan Stepien

Marek Nowakowski

Quang Ha

Vojtech Spurny

Andrzej Łukaszewicz

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