Embedded Perception & Autonomous Systems
Computer Vision Laboratory · Department of Automatic Control and Robotics · Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering · AGH University of Krakow, Poland
Our research focuses on embedded perception systems that process, in real time and at low power, high-resolution video streams, LiDAR point clouds and data from event cameras – for autonomous mobile robots, including UAVs, UGVs and legged robots.
What we work on
Computer vision
Real-time pipelines for high-resolution video, combining classical vision algorithms with deep networks.
Event-based vision
Perception with event cameras (DVS): filtering, visual odometry, tracking and detection from sparse, microsecond-latency event streams.
Neuromorphic computing
Spiking Neural Networks, event-based audio processing and neuromorphic control for advanced mobile robotics.
Embedded AI
Deep neural networks, including Graph Neural Networks for sparse data, compressed and optimised for on-device deployment.
Hardware acceleration
Zynq, Zynq UltraScale+, Versal, NVIDIA Jetson and emerging neuromorphic hardware.
Autonomous drones
Perception: detection, tracking and visual navigation. Control: classical, MPC, RL and hybrid controllers.
News
- Aug 2026 Paper Embedded graph convolutional networks for real-time event data processing in Journal of Systems Architecture
- May 2026 Paper SIRA published in ACM TRETS – with Paderborn University, AMD and NTNU
- Apr 2026 Talk Event-based in-cabin sensing dataset pipeline presented at KU KDM 2026
- Apr 2026 Talk Two papers at ARC 2026 in Cagliari: contrast maximization and keyword spotting on FPGA
- Sep 2025 Talk Three presentations at SPA 2025
Featured publications
- TRETSACM Transactions on Reconfigurable Technology and Systems, 2026
- JSAJournal of Systems Architecture, 2026
- ARCApplied Reconfigurable Computing (ARC), 2026
- CVPRW
Our team
Marek Gorgoń Professor
Marcin Kowalczyk Research & Teaching Assistant
Krzysztof Błachut Research & Teaching Assistant
Hubert Szolc Research & Teaching Assistant
Mateusz Wąsala Research & Teaching Assistant
Michał Daniłowicz Research & Teaching Assistant
Piotr Wzorek Research & Teaching Assistant
Kamil Jeziorek Research & Teaching Assistant












