Jeremy Espinal
Papers
2
Total Citations
8
H-Index
2
About
Jeremy Espinal is a researcher in tactile sensing and soft robotics, with a focus on developing innovative approaches to contact localization and indentation depth prediction. His work challenges traditional matrix-based sensor designs, which often suffer from fabrication complexity and limited adaptability to non-planar surfaces. Instead, Espinal explores optics-based and resistive tactile sensors that leverage overlapping signals to achieve high accuracy with simpler, more flexible architectures. His key contributions include demonstrating that overlapping signal patterns can effectively replace dense sensor arrays, reducing system complexity while maintaining performance. Though his most-cited papers—"Accurate contact localization and indentation depth prediction with an optics-based tactile sensor" (2017) and "Touch Sensors with Overlapping Signals" (2018)—each have 4 citations, they represent foundational steps toward more scalable and adaptable tactile sensing technologies. This work is particularly relevant for applications in soft robotics, human-machine interaction, and wearable devices, where conformability and low-cost fabrication are critical. Espinal’s research offers a promising path for engineers and roboticists seeking to simplify tactile sensor design without sacrificing precision.
Research Focus
Key Achievements
Top Papers
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