Pablo Rangel
Papers
2
Total Citations
5
H-Index
2
About
Pablo Rangel is a robotics researcher whose work bridges socially assistive technology and multi-robot coordination. His research focuses on two key areas: developing affordable robotic solutions for elderly care and advancing multi-robot systems for environmental monitoring. In his influential 2019 paper, "Lessons Learned from the Development of an Affordable Open-Source Based Humanoid Socially Assistive Robot," Rangel demonstrated how low-cost, open-source platforms can make socially assistive robotics (SAR) accessible for elderly care tasks—a contribution that has garnered 3 citations and laid groundwork for cost-effective healthcare robotics. More recently, his 2025 paper on "Spatially Temporally Distributed Informative Path Planning for Multi-Robot Systems" tackles the challenge of using mobile sensor networks to build Gaussian process models of dynamic environments, earning 2 citations for its novel approach to optimizing data collection. Rangel’s work is notable for its dual impact: making assistive robotics more practical and scalable, while advancing the theoretical foundations of multi-robot path planning. By combining open-source principles with rigorous algorithmic development, he is shaping how robots can serve both vulnerable populations and complex environmental monitoring tasks.
Research Focus
Key Achievements
Top Papers
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