estimation
UAV-SEAD_State_Estimation_Anomaly_Datasetgelsight-force-estimation
Dataset Details
This dataset contains paired tactile and force data, intended for use in predicting 3-axis normal and shear forces applied to the sensor's elastomer. We used three different indenter shapes to collect force-labeled data: hemisphere, sharp, and flat. To measure force ground truths, we employed the ATI nano17 force/torque sensor. The protocol consisted of applying a random normal load (up to 3N) followed by a shear load, achieved by sliding the probe 2mm on the… See the full description on the dataset page: https://huggingface.co/datasets/facebook/gelsight-force-estimation.UAV-SEAD_State_Estimation_Anomaly_Datasetdigit-force-estimation
Dataset Details
This dataset contains paired tactile and force data, intended for use in predicting 3-axis normal and shear forces applied to the sensor's elastomer. We used three different indenter shapes to collect force-labeled data: hemisphere, sharp, and flat. To measure force ground truths, we employed the ATI nano17 force/torque sensor. The protocol consisted of applying a random normal load (up to 5N) followed by a shear load, achieved by sliding the probe 2mm on the… See the full description on the dataset page: https://huggingface.co/datasets/facebook/digit-force-estimation.KITTI-Depth-Estimationdigit-pose-estimation
Dataset Details
This dataset contains time-synchronized pairs of DIGIT images and SE(3) object poses. In our setup, the robot hand is stationary with its palm facing downwards and pressing against the object on a table. The robot hand has DIGIT sensors mounted on the index, middle, and ring fingertips, all of which are in contact with the object. A human manually perturbs the object's pose by translating and rotating it in SE(2). We use tag tracking to obtain the object's pose. We… See the full description on the dataset page: https://huggingface.co/datasets/facebook/digit-pose-estimation.