Adam Rapalski
Papers
1
Total Citations
20
H-Index
1
About
Adam Rapalski is a robotics researcher whose work centers on energy-efficient navigation for autonomous mobile robots. His most cited study, "Energy Consumption Analysis of the Selected Navigation Algorithms for Wheeled Mobile Robots" (2023, 20 citations), makes a significant contribution by systematically comparing the energy demands of classic pathfinding algorithms like RRT and A-star when integrated with vision-based mapping. By using an RGBW camera to create binary occupancy grids, Rapalski provides a practical framework for evaluating how algorithmic choices directly impact a robot's battery life and operational endurance. This research is crucial for the development of longer-lasting, more sustainable field robots in logistics, inspection, and service applications. His work bridges the gap between theoretical path planning and real-world energy constraints, offering engineers actionable data for designing more efficient autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1