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100 real-world objects

Emerging
1papers using it
2026first seen

The '100 real-world objects' dataset is a benchmark used to evaluate the performance of contact localization methods by providing a diverse set of objects for assessing the accuracy of predicting touch locations on their surfaces.

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Papers using 100 real-world objects (1)

100 real-world objects — datasets — robotics