Raimundo Barreto

Papers

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About

Raimundo Barreto is a versatile researcher whose work spans the critical intersection of software engineering, robotics, and wireless sensor networks. His most influential contribution is the comprehensive survey "A survey of Model Driven Engineering in robotics" (2021, 55 citations), which systematically maps how model-driven approaches can streamline the development of complex robotic systems—a foundational resource for researchers seeking to improve software reuse and abstraction in robotics. Earlier, Barreto tackled challenges in Wireless Sensor Networks with "A Novel Greedy Forward Algorithm for Routing Data toward a High Speed Sink" (2010, 24 citations), proposing an efficient routing strategy for networks where mobile sink nodes aggregate and transmit data to monitoring facilities, addressing a key limitation of static infrastructure. Demonstrating a commitment to educational innovation, he also explored agile methodologies in "On the use of SCRUM for the management of practical projects in graduate courses" (2009, 17 citations), offering evidence-based strategies to reduce student effort waste and improve project management skills. Barreto’s work is notable for bridging theoretical modeling with practical deployment and pedagogy, making him a valuable contributor to both engineering practice and computer science education.