Dawid Gradolewski

Gdańsk University of Technology, Blekinge Institute of Technology

Papers

Total Citations

H-Index

About

Dawid Gradolewski is a researcher whose work bridges biomedical signal processing and industrial robotics safety. His key research areas include electromyographic (EMG) signal denoising and real-time collaborative robot safety systems. Gradolewski's major contributions include developing a wavelet-based denoising system for arm EMG signals, detailed in his 2014 paper (24 citations), which enhances the clarity of muscle activity measurements for prosthetics and human-machine interfaces. He also pioneered a distributed computing real-time safety system for collaborative robots, published in 2020 (19 citations), addressing the critical need to prevent hazardous human-robot interactions in modern factories. This work proposes a scalable, low-latency architecture that detects and mitigates risks in shared workspaces, directly impacting the safe deployment of industrial automation. Gradolewski's research demonstrates a dual focus on improving signal quality for biomedical applications and ensuring operational safety in increasingly automated environments, with his work cited for its practical relevance to both healthcare and manufacturing sectors.