Maciej Piechowiak
Papers
2
Total Citations
16
H-Index
2
About
Maciej Piechowiak is a researcher at the forefront of integrating artificial intelligence with physical systems, with key contributions spanning rehabilitation robotics and the industrial Internet of Things. His work demonstrates a unique ability to bridge the gap between human-centered medical devices and the data-driven demands of Industry 4.0. In his most cited work, "Reducing Waste in 3D Printing Using a Neural Network Based on an Own Elbow Exoskeleton" (2021, 11 citations), Piechowiak addresses a critical clinical challenge: developing a reliable, robotic system for early upper limb rehabilitation. By combining a custom elbow exoskeleton with a neural network, his approach not only enhances patient recovery but also optimizes the manufacturing process, reducing waste in 3D-printed components. This dual focus on clinical efficacy and production efficiency is a hallmark of his research. Further extending his impact, Piechowiak’s 2023 paper on "The Internet of Things and AI-based optimization within the Industry 4.0 paradigm" (5 citations) synthesizes the integration of IoT devices, cloud computing, and big data analytics. Through this work, he helps define the roadmap for smart, AI-driven industrial ecosystems, cementing his reputation as a versatile innovator whose contributions are shaping both the future of rehabilitation and the intelligent factory floor.
Research Focus
Key Achievements
Top Papers
- 1
- 2