Papers
10
Total Citations
196
H-Index
6
About
Ricardo Severino is a researcher whose work spans wireless sensor networks (WSNs), cooperative autonomous driving, and intelligent robotic systems — areas that sit at the intersection of embedded systems, real-time communications, and autonomous mobility. His most influential contribution, "Improving Quality-of-Service in Wireless Sensor Networks by Mitigating Hidden-Node Collisions" (2009, 100 citations), established him as a notable voice in WSN design, addressing critical challenges in quality-of-service for large-scale networked embedded systems operating in harsh environments. His early work within the ART-WiSe framework further demonstrated his commitment to real-time, reliable communication architectures for safety-critical applications, including search and rescue localization systems. Over time, Severino's research trajectory evolved toward vehicular platooning and cooperative autonomous driving. His COPADRIVe simulation framework and associated testbed work reflect a sustained effort to bridge the gap between theoretical development and real-world deployment of safety-critical vehicle applications. More recently, he has explored cloud-assisted robot path planning and multi-agent reinforcement learning for intelligent wheelchair navigation, showcasing a broadening research vision. With over 190 cumulative citations, Severino's body of work reflects a consistent dedication to solving practical engineering challenges in networked, autonomous, and safety-critical systems.
Research Focus
Key Achievements
Top Papers
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- 4Towards a Cooperative Robotic Platooning Testbed17 citations · 2020
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- 7On the robot path planning using cloud computing for large grid maps5 citations · 2018
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- 9On a test-bed application for the ART-WiSe framework3 citations · 2006
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