Sunny Fugate
Papers
1
Total Citations
23
H-Index
1
About
Sunny Fugate’s research lies at the intersection of human-computer interaction, gesture recognition, and robotic control. His most-cited work, “Wireless Data Glove for Gesture-Based Robotic Control” (2009), introduced a novel approach to translating natural hand movements into precise robotic commands, enabling more intuitive and accessible control systems. This paper, with 23 citations, laid foundational groundwork for wearable gesture interfaces in robotics, influencing subsequent developments in assistive technology and teleoperation. Fugate’s contributions are particularly notable for their practical emphasis on wireless, low-latency communication, bridging the gap between human dexterity and machine response. Beyond this key publication, his broader research explores how gesture-based systems can enhance human-robot collaboration, with applications ranging from manufacturing to rehabilitation. Fugate’s work has been recognized for its interdisciplinary impact, drawing interest from both engineering and computer science communities. For students and researchers, his research offers a compelling example of how intuitive interfaces can democratize robotic control, making complex systems more accessible to non-experts. His ongoing efforts continue to push the boundaries of how we interact with machines, blending ergonomic design with robust engineering.
Research Focus
Key Achievements
Top Papers
- 1Wireless Data Glove for Gesture-Based Robotic Control23 citations · 2009