Mixtac is a bio-inspired hybrid event-frame tactile sensor that fuses data via FGER-Net to achieve 0.04 N MAE force estimation by using events for speed and frames for drift correction.
Evetac: An event-based optical tactile sensor for robotic manipulation
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A neuromorphic event-based tactile pipeline with spatiotemporal segmentation and ResNet achieves >=98% character accuracy and >90% word accuracy for continuous Braille reading on physical boards.
citing papers explorer
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Mixtac: A Novel Bio-Inspired Hybrid Tactile Sensor with Synergistic Event-Frame Perception
Mixtac is a bio-inspired hybrid event-frame tactile sensor that fuses data via FGER-Net to achieve 0.04 N MAE force estimation by using events for speed and frames for drift correction.
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Neuromorphic BrailleNet: Accurate and Generalizable Braille Reading Beyond Single Characters through Event-Based Optical Tactile Sensing
A neuromorphic event-based tactile pipeline with spatiotemporal segmentation and ResNet achieves >=98% character accuracy and >90% word accuracy for continuous Braille reading on physical boards.