Marcelo Saavedra Alcoba
Papers
3
Total Citations
5
H-Index
2
About
Marcelo Saavedra Alcoba is a robotics researcher whose work focuses on swarm coordination, autonomous navigation, and low-cost robotic platforms. His key research areas include multi-robot systems for agricultural applications, real-time path planning, and inspection robotics. Saavedra Alcoba's major contributions include developing a cohesion-based flocking formation model using potential linked nodes for agricultural swarms, which addresses the challenge of modeling large-scale collective dynamics in multi-robot teams. He also created CuyBot, a compact, low-cost tracked robot equipped with vSLAM for ventilation duct inspection, offering a practical solution for monitoring air quality in confined spaces. Additionally, he designed a low-computational-load path planning and trajectory control system based on artificial potential fields, enabling efficient real-time navigation for differential-type robots. His work, cited in recent publications (2023–2026), demonstrates practical innovations in swarm robotics and autonomous systems, with applications in agriculture and infrastructure maintenance. Saavedra Alcoba's research is notable for its focus on cost-effective, scalable solutions that bridge theoretical models with real-world deployment.
Research Focus
Key Achievements
Top Papers
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