Doglas Negri

Serviço Nacional de Aprendizagem Industrial

Papers

1

Total Citations

2

H-Index

1

About

Doglas Negri is a researcher at the forefront of human-robot interaction, specializing in teleoperation systems and virtual reality (VR) integration. His work bridges the gap between intuitive control and complex robotic operations, with a focus on enhancing remote manipulation in three-dimensional environments. Negri’s most cited paper, "Robot Teleoperation via Virtual Reality: A Unity and ROS Approach" (2024), introduces a novel framework that combines Unity’s immersive VR capabilities with the Robot Operating System (ROS) to overcome the limitations of traditional 2D interfaces. This contribution addresses critical challenges in teleoperation, such as spatial awareness and precision, enabling more natural and effective control of robots in tasks ranging from industrial maintenance to hazardous environment exploration. With 2 citations and growing recognition, Negri’s work is gaining traction as a foundational approach in the field. His research not only advances practical teleoperation solutions but also opens new avenues for accessible, scalable human-robot collaboration. Negri’s achievements reflect a commitment to pushing the boundaries of VR-assisted robotics, making him a notable figure for students and researchers interested in the future of remote interaction and automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Robot Teleoperation via Virtual Reality: A Unity and ROS Approach
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Serviço Nacional de Aprendizagem Industrial

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago