Daniel da Silva Souza
Papers
1
Total Citations
3
H-Index
1
About
Daniel da Silva Souza is a researcher whose work sits at the intersection of distributed systems, robotics, and immersive technologies. His primary research focus is on the performance and scalability of communication architectures for robotics and virtual reality applications, particularly in teleoperation and human-robot interaction contexts. Souza’s most cited work, a 2017 case study on the MQTT protocol for distributed publisher-subscriber architectures, provides critical insights into the latency and reliability trade-offs of using lightweight messaging protocols in robotics VR systems. This study, which has garnered 3 citations, addresses the inherent complexity of implementing monolithic solutions for tasks like trajectory planning, off-line programming, and rehabilitation interfaces. By benchmarking MQTT against the demands of real-time VR control, Souza’s research offers practical guidance for engineers building modular, scalable robotic systems. His contributions are particularly valuable for advancing teleoperation and natural user interfaces, where low-latency communication is paramount. Though early in his citation impact, Souza’s work lays foundational groundwork for integrating distributed architectures into next-generation robotics and virtual reality platforms.
Research Focus
Key Achievements
Top Papers
- 1