Jesús Martínez Cruz
Papers
3
Total Citations
31
H-Index
2
About
Jesús Martínez Cruz is a leading researcher in networked robotics, with a primary focus on middleware solutions that enable high-performance, quality-of-service (QoS) communication for social robots. His work addresses a critical challenge: how to design distributed robotic software that can dynamically adapt to changing environments, human interactions, and evolving task demands without requiring extensive code rewrites. His most cited paper, "A DDS‐based middleware for quality‐of‐service and high‐performance networked robotics" (2012, 21 citations), introduces a Data Distribution Service (DDS) framework that allows robotic systems to maintain reliability and low latency even under stringent real-time constraints. This work builds on his earlier development of "Nerve" (2011), a lightweight middleware for QoS in networked robotics. Martínez Cruz has also been instrumental in advancing the RoboComp robotics framework, as detailed in his 2013 paper "Progress in RoboComp" (8 citations), which documents the framework's growth in software components, robot support, and formal maintenance solutions. His contributions are foundational for researchers and engineers building adaptive, distributed robotic systems that must operate reliably in unpredictable, human-centered environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Progress in RoboComp8 citations · 2013
- 3