Matheus F. Torquato

Universidade Federal do Rio Grande do Norte

Papers

2

Total Citations

7

H-Index

2

About

Matheus F. Torquato is a researcher at the forefront of reconfigurable computing and ultra-low-latency communication systems, with a sharp focus on enabling the Tactile Internet. His work tackles the critical challenge of reducing round-trip latency to imperceptible levels—between 1 and 10 milliseconds—required for real-time, bilateral remote control of robotic devices. Torquato’s major contribution lies in applying Field-Programmable Gate Arrays (FPGAs) to achieve this latency reduction, demonstrating how reconfigurable hardware can outperform traditional processors in time-sensitive applications. His most cited paper, "FPGA Applied to Latency Reduction for the Tactile Internet" (2022), has garnered 5 citations, while his earlier foundational work from 2020 has been cited 2 times. These studies are pivotal for advancing teleoperation, haptic feedback, and immersive remote manipulation. By bridging the gap between hardware flexibility and stringent timing constraints, Torquato’s research lays essential groundwork for next-generation communication networks where touch and motion are transmitted with near-zero delay, promising transformative impacts in fields from telemedicine to industrial automation.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
FPGA Applied to Latency Reduction for the Tactile Internet
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Universidade Federal do Rio Grande do Norte

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago