Mateus A. S. de S. Goldbarg
Papers
1
Total Citations
3
H-Index
1
About
Mateus A. S. de S. Goldbarg is a researcher whose work centers on autonomous mobile robotics, with a particular focus on real-time navigation and obstacle avoidance in unknown, dynamic environments. His key contributions lie at the intersection of meta-heuristic optimization and safe path planning, addressing the critical challenge of enabling robots to traverse unpredictable spaces without collision. His most cited work, "A Real-Time Safe Navigation Proposal for Mobile Robots in Unknown Environments Using Meta-Heuristics" (2025), introduces the MetaHeuristic Real-Time Safe Navigation (MHRTSN) strategy, a novel approach that leverages meta-heuristic algorithms to compute safe trajectories on the fly. This paper has garnered 3 citations, marking it as a foundational piece in the emerging field of intelligent, adaptive navigation systems. Goldbarg’s research is particularly notable for its emphasis on real-time performance, bridging the gap between theoretical optimization and practical deployment. His work holds promise for applications in search-and-rescue, autonomous delivery, and industrial automation, where robots must operate safely alongside humans. By integrating meta-heuristics with real-time constraints, Goldbarg is helping to shape the next generation of autonomous systems that can navigate complex, unpredictable environments with reliability and efficiency.
Research Focus
Key Achievements
Top Papers
- 1