Damian Wroński
Papers
1
Total Citations
11
H-Index
1
About
Driven by the challenge of autonomous robot endurance, Damian Wroński’s research lies at the critical intersection of mobile robotics and energy efficiency. His most-cited work, "Comparison of Energy Prediction Algorithms for Differential and Skid-Steer Drive Mobile Robots on Different Ground Surfaces" (2021, 11 citations), provides a foundational benchmark for the field. In this study, Wroński systematically compared analytical models against artificial neural networks for power consumption estimation—a domain where neural networks were rarely applied. His findings offer a practical roadmap for predicting energy use across varying terrains and drive systems, directly enabling longer, more reliable autonomous missions. By bridging the gap between theoretical modeling and data-driven approaches, Wroński has laid essential groundwork for optimizing the operational lifespan of field robots. His contributions are particularly valuable for researchers designing energy-aware navigation and path-planning algorithms, making him a key voice in the push toward truly self-sufficient mobile robots.
Research Focus
Key Achievements
Top Papers
- 1