Alberto Fornaser

University of Trento, University of Brescia

Papers

4

Total Citations

51

H-Index

3

About

Alberto Fornaser is a researcher whose work sits at the intersection of computer vision, robotics, and human safety, with a particular focus on Time of Flight (ToF) camera systems. His key contributions lie in developing novel calibration and perception techniques that enable robots and assistive devices to interact safely and effectively with humans. His most cited work, "Automatic graph based spatiotemporal extrinsic calibration of multiple Kinect V2 ToF cameras" (23 citations), introduced a fast, user-friendly method for calibrating multi-camera motion capture systems, a foundational step for many applications. Fornaser has also made significant strides in human-robot collaboration, as demonstrated by his paper on a safety system for robotic cells (13 citations), which uses dual ToF cameras and point cloud analysis to recognize and separate humans from robots in shared workspaces. Extending his work to assistive technology, he explored augmented robotics for electronic wheelchairs to enhance domestic mobility (13 citations), and developed a system to measure upper limb loads during robotic-assisted gait for spinal cord injury patients. Through these diverse projects, Fornaser has established himself as a key contributor to making robotic systems more intuitive, safe, and beneficial for real-world human environments.

Research Focus

Key Achievements

3
H-Index
4
Papers
51
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Automatic graph based spatiotemporal extrinsic calibration of multiple Kinect V2 ToF cameras
23 citations · 2017
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of Trento, University of Brescia

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago