Paulo Fernando Ferreira Rosa
Papers
14
Total Citations
78
H-Index
6
About
Paulo Fernando Ferreira Rosa is a robotics and autonomous systems researcher whose work spans several interconnected domains, including Simultaneous Localization and Mapping (SLAM), autonomous mobile robotics, swarm systems, and tactile sensing. His most influential contributions center on advancing SLAM methodologies for real-world dynamic environments, most notably through particle filter-based approaches that intelligently filter outliers to ensure robots rely only on static landmarks during navigation — a critical challenge for practical deployment. Rosa has further extended this work by integrating people detection and identification systems with SLAM platforms, enabling robots to navigate intelligently in human-populated spaces. His research on evaluating visual SLAM solutions on embedded platforms reflects a commitment to bridging algorithmic innovation with hardware feasibility. Beyond localization, Rosa has contributed to swarm robotics architecture, collision avoidance for quadrotors, cooperative multi-robot mapping using neural networks, and even early gripper design for dexterous manipulation. His body of work, accumulating citations across publications from 1995 through 2020, demonstrates a sustained research career evolving alongside the robotics field itself. Rosa's contributions are particularly valuable for researchers and students working at the intersection of autonomous navigation, human-robot interaction, and embedded intelligent systems.
Research Focus
Key Achievements
Top Papers
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- 6A multi-agent architecture for swarm robotics systems7 citations · 2017
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- 8Cooperating robots for mapping tasks with a multilayer perceptron4 citations · 2013
- 9On the design of a 'scrollic' gripper for firm 3D grasping4 citations · 1995
- 10Fixed-wing state level HIL via factor graph incremental smoothing3 citations · 2015