Piero Vilcapoma
Papers
1
Total Citations
5
H-Index
1
About
Piero Vilcapoma is a researcher at the forefront of human-robot interaction, with a focused expertise in computer vision and gesture-based control systems. His most cited work, "Human-Robot Interaction Based on Hand Gesture Detection Using YOLO Algorithm" (2025), has already garnered 5 citations, demonstrating early impact in this rapidly evolving field. Vilcapoma’s primary contribution lies in integrating state-of-the-art object detection models—specifically the YOLO algorithm—into real-time robotic control interfaces, enabling more intuitive and natural communication between humans and machines. By developing robust hand gesture recognition pipelines, his research addresses critical challenges in non-verbal human-robot collaboration, with applications spanning assistive robotics, industrial automation, and interactive systems. His work stands out for its practical implementation, bridging the gap between deep learning advances and tangible robotic responsiveness. As a rising voice in human-robot interaction, Vilcapoma’s research not only advances technical methodologies but also lays groundwork for safer, more accessible robotic systems. His findings are particularly relevant for students and researchers exploring vision-based interfaces, offering a clear pathway from algorithmic innovation to real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1