Vincenzo Rinaldi

University of Dundee

Papers

1

Total Citations

44

H-Index

1

About

Vincenzo Rinaldi is a leading researcher in human-robot interaction and mixed reality, with a focus on reducing the cognitive burden of teleoperation. His most cited work, "Intuitive Robot Teleoperation Through Multi-Sensor Informed Mixed Reality Visual Aids" (2021, 44 citations), pioneers the integration of multi-sensor data into augmented reality interfaces, allowing operators to perceive robot status and environmental constraints without overwhelming cognitive load. This contribution addresses a critical bottleneck in mobile robotics: the gap between rich sensor data and human decision-making. Rinaldi’s research bridges robotics, visualization, and human factors, offering practical solutions for remote manipulation in hazardous or inaccessible environments. His work has been recognized for its direct applicability to industrial and search-and-rescue domains, where intuitive control is paramount. By transforming raw sensor streams into actionable visual aids, Rinaldi continues to shape the future of seamless human-robot collaboration, making complex teleoperation tasks more accessible and efficient.

Research Focus

Key Achievements

1
H-Index
1
Papers
44
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Intuitive Robot Teleoperation Through Multi-Sensor Informed Mixed Reality Visual Aids
44 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Dundee

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago