Papers

2

Total Citations

12

H-Index

2

About

Douglas Almonfrey’s research centers on intelligent spaces, multi-camera networks, and robotic formation control, with a focus on creating responsive, autonomous systems that perceive and interact with their environments. His most cited work, “A flexible human detection service suitable for Intelligent Spaces based on a multi-camera network” (2018, 9 citations), advances ubiquitous computing by enabling ambient systems to extract real-time information and provide tailored services to occupants. In his earlier study, “Visual-servo controller applied to the leader of a robot team with a centralized formation control” (2010, 3 citations), Almonfrey developed a visual-servo system that generates motor commands for a mobile robot leader, which then coordinates a team through centralized, nonlinear, and stable formation control. This work demonstrates how visual feedback can drive both individual robot motion and group cohesion. Almonfrey’s contributions bridge computer vision and multi-robot coordination, offering practical frameworks for intelligent environments and collaborative robotics. His research continues to influence applications in surveillance, human-robot interaction, and autonomous team navigation.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A flexible human detection service suitable for Intelligent Spaces based on a multi-camera network
9 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Instituto Federal do Espírito Santo, Universidade Federal do Espírito Santo

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago