D. L. Wingate
Papers
2
Total Citations
8
H-Index
2
About
D. L. Wingate’s research lies at the intersection of artificial intelligence, robotics, and human-robot interaction, with a particular focus on enabling fluid collaboration between humans and machines. A key contribution is the development of data-driven models for human-robot co-manipulation, where Wingate’s work on “Human-robot co-manipulation of extended objects” (2020, 4 citations) draws directly from experiments with human-human dyads to teach robots how to intuitively handle shared tasks—a notoriously difficult challenge in robotics. This approach bypasses traditional control limitations by leveraging real human coordination data. Wingate also contributed to the foundational discourse on intelligent robot design through the AAAI Spring Symposium paper “Designing intelligent robots: reintegrating AI” (2012, 4 citations), which helped shape conversations around embedding AI more deeply into robotic systems. While citation counts are modest, the work is notable for its practical, human-centered methodology and its potential to make collaborative robotics more accessible. Wingate’s research is particularly valuable for students and engineers seeking to bridge the gap between theoretical AI and real-world physical collaboration.
Research Focus
Key Achievements
Top Papers
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