ShapeGrasp iteratively fuses visual and tactile data during grasp attempts to complete object shapes and improve real-world grasping success rates to 84-91%.
Coding and use of tactile signals from the fingertips in object manipulation tasks
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2years
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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ShapeGrasp: Simultaneous Visuo-Haptic Shape Completion and Grasping for Improved Robot Manipulation
ShapeGrasp iteratively fuses visual and tactile data during grasp attempts to complete object shapes and improve real-world grasping success rates to 84-91%.
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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.