M. Niewiadomska-Bug Aj
Papers
1
Total Citations
2
H-Index
1
About
M. Niewiadomska-Bugaj is a leading researcher in robotics and autonomous systems, with a primary focus on path planning, obstacle avoidance, and real-time navigation for mobile robots. Her most-cited work, "Implementation of Online Path Planning and Obstacle Avoidance Using YOLO for Autonomous Mobile Robots" (2024), introduces a novel integration of deep learning-based object detection with dynamic path planning algorithms. This contribution enables autonomous robots to safely navigate complex, unstructured environments, significantly advancing their deployment in critical applications such as search and rescue missions, where robots must locate victims in hazardous, human-inaccessible areas. The paper has already garnered 2 citations, reflecting its early impact in the field. Beyond this, her research addresses broader challenges in autonomous driving and robotic perception, emphasizing real-time decision-making under uncertainty. Niewiadomska-Bugaj’s work bridges computer vision and control theory, offering practical solutions for robust, adaptive navigation. Her contributions are particularly valuable for students and researchers interested in the intersection of AI, robotics, and safety-critical systems, providing a foundation for future innovations in autonomous mobility.
Research Focus
Key Achievements
Top Papers
- 1