Micael Balza
Papers
1
Total Citations
3
H-Index
1
About
Micael Balza is a robotics researcher whose work focuses on autonomous navigation for mobile robots operating in unknown and dynamic environments. His key research areas include real-time path planning, obstacle avoidance, and the application of meta-heuristic algorithms to robotic systems. Balza’s most notable contribution is the development of the MetaHeuristic Real-Time Safe Navigation (MHRTSN) strategy, a novel approach that enables mobile robots to compute safe trajectories on the fly without relying on pre-mapped environments. This work, published in 2025 and already garnering 3 citations, addresses a critical challenge in robotics: balancing computational efficiency with safety in real-time decision-making. By integrating meta-heuristics, Balza’s method offers a robust alternative to traditional navigation frameworks, making it particularly valuable for applications in search-and-rescue, autonomous logistics, and industrial automation. His research stands out for its practical focus on deploying intelligent systems in unpredictable settings, bridging the gap between theoretical optimization and real-world robotic performance. Balza’s contributions are paving the way for more adaptive and resilient autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1