Papers
2
Total Citations
8
H-Index
2
About
Haoyuan Ma is a rising researcher at the forefront of intelligent robotics and autonomous perception, with a core focus on multi-sensor fusion, simultaneous localization and mapping (SLAM), and continual learning for smart industrial applications. His most-cited work, “A Novel Multi-Sensor Nonlinear Tightly-Coupled Framework for Composite Robot Localization and Mapping” (2024, 6 citations), addresses critical challenges in composite robotics—such as illumination changes, reflective surfaces, and cumulative pose errors—by proposing a robust tightly-coupled framework that significantly enhances environmental perception and pose estimation accuracy. Building on this, his 2025 paper introduces a pioneering continual learning and adaptive sensing framework for long-term target recognition and tracking in smart factories, enabling systems to persistently monitor operators and equipment amidst dynamic conditions. Though early in his career, Ma’s contributions are already shaping the next generation of resilient, intelligent robotic systems for complex, real-world environments. His work stands out for its practical integration of adaptive state response mechanisms, promising to advance both academic research and industrial automation.
Research Focus
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Top Papers
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