Emily Hannigan
Papers
2
Total Citations
8
H-Index
2
About
Emily Hannigan is a researcher focused on advancing tactile sensing technology, with key contributions in optics-based and signal-processing approaches for touch sensors. Her work addresses the challenge of achieving high localization accuracy and indentation depth prediction without relying on complex, miniaturized sensor matrices. In her 2017 paper, "Accurate contact localization and indentation depth prediction with an optics-based tactile sensor," she introduced a method that simplifies fabrication and circuitry while maintaining precision—a critical step for applications in robotics and human-machine interfaces. Her 2018 study, "Touch Sensors with Overlapping Signals," further explored resistive and optical transduction to enhance sensor adaptability to non-planar surfaces. Though her citation counts are modest (4 each), these papers represent foundational work in reducing sensor complexity, making tactile systems more practical for real-world deployment. Hannigan’s research is notable for its innovative use of overlapping signal patterns to improve accuracy, offering a scalable alternative to traditional matrix designs. Her contributions are particularly valuable for students and engineers seeking efficient, cost-effective solutions in soft robotics and haptic feedback systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2