Papers
3
Total Citations
153
H-Index
3
About
Andy Lungfiel’s research lies at the intersection of human–robot collaboration, occupational safety, and virtual reality (VR), with a focus on designing safer, more intuitive human–system interactions. His most influential work, “Effects of movement speed and predictability in human–robot collaboration” (2017), has garnered 142 citations and addresses a critical question for manufacturing: how robot motion parameters affect human comfort and trust in shared workspaces. This study provides foundational insights for configuring collaborative robots that are both efficient and psychologically acceptable to human coworkers. Lungfiel also explores VR as a tool for occupational safety and health (OSH) research, as seen in his 2018 paper on improving OSH through virtual environments and his earlier 2010 evaluation of VR for usability studies. These contributions demonstrate his pioneering use of immersive simulations to assess workplace hazards and human–machine interfaces without physical risk. By bridging robotics, ergonomics, and digital simulation, Lungfiel’s work offers practical guidance for industries adopting human–robot collaboration while advancing methodological approaches for safety research. His research continues to influence how engineers and safety professionals design collaborative systems that prioritize human well-being.
Research Focus
Key Achievements
Top Papers
- 1Effects of movement speed and predictability in human–robot collaboration142 citations · 2017
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