Papers
1
Total Citations
8
H-Index
1
About
Don EnQel is a pioneering researcher at the intersection of virtual reality, photogrammetry, and human-robot interaction (HRI). His work addresses a critical bottleneck in robotics research: the scalability and reproducibility of HRI studies. EnQel’s most cited paper, “Virtual Reality and Photogrammetry for Improved Reproducibility of Human-Robot Interaction Studies” (2019, 8 citations), introduces a transformative methodology that replaces physical robots with high-fidelity virtual representations generated through photogrammetry. This approach eliminates hardware failures and logistical constraints, enabling researchers to conduct large-scale, repeatable experiments with human participants in controlled VR environments. By decoupling HRI studies from physical robot availability, EnQel’s contributions have opened new avenues for rapid prototyping, cross-lab collaboration, and statistically robust behavioral data collection. His work is foundational for the emerging field of VR-based robotics research, offering a scalable solution that enhances experimental validity while reducing costs. EnQel’s innovative fusion of computer vision, immersive technology, and robotics continues to shape how future HRI studies are designed and executed.
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Top Papers
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