Daniel Lanzoni
Papers
3
Total Citations
10
H-Index
3
About
Daniel Lanzoni is a researcher at the forefront of human-robot collaboration and occupational ergonomics, with a focus on transforming industrial and construction environments through intelligent automation. His work centers on integrating markerless motion capture, virtual reality, and collaborative robotics to enable real-time ergonomic analysis, aiming to prevent musculoskeletal disorders in workers performing repetitive or physically demanding tasks. Lanzoni’s preliminary study on ergonomic evaluation in collaborative robot workstations (2022, 4 citations) laid groundwork for safer human-robot interaction, while his subsequent research on real-time manual task assessment (2022, 3 citations) advanced practical monitoring tools. Notably, his 2025 work on the Cranebot—a remote-controlled construction robot—explores control interfaces and usability for hazardous environments like building sites and mines, addressing the critical need for remote operation of heavy machinery. Though early in his career, Lanzoni’s contributions bridge virtual simulation and physical safety, offering scalable solutions for industries seeking to reduce injury risks while maintaining productivity. His interdisciplinary approach, combining robotics, VR, and ergonomics, positions him as an emerging voice in the future of safe, automated work.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Manual Tasks Real-Time Ergonomic Evaluation for Collaborative Robotics3 citations · 2022