The datasets for the works 'Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Grasping Dataset'[Link] and 'NeuroGrasp: Multimodal Neural Network With Euler Region Regression for Neuromorphic Vision-Based Grasp Pose Estimation'[Link]
Grasping DataSets Captured by DAVIS (Dynamic vision sensor)
1. Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Grasping Dataset
This is the implementation of our recently work 'Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset'. We construct a robotic grasping dataset name E-Grapsing with 91 objects. The dataset can be donwload from this link(https://drive.google.com/file/d/1frAvxFjjhBzhhNd2SeDKN1R6E417jD3L/view?usp=sharing)
If you find it helpful for your research, please cite:
@ARTICLE{10.3389/fnbot.2020.00051,
AUTHOR={Li, Bin and Cao, Hu and Qu, Zhongnan and Hu, Yingbai and Wang, Zhenke and Liang, Zichen},
TITLE={Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset},
JOURNAL={Frontiers in Neurorobotics},
VOLUME={14},
PAGES={51},
YEAR={2020},
URL={https://www.frontiersin.org/article/10.3389/fnbot.2020.00051},
DOI={10.3389/fnbot.2020.00051},
ISSN={1662-5218},
}We represent the tracked LED points with rectangles, each event frame acquires the ground truth of a good grasping position, as is shown in below
We manually set ground truth annotations in the first frame, the transformed annotations in any other frame canbe attained. The final dataset with multi-grasping annotations is illustrated in below
2. NeuroGrasp: Multimodal Neural Network With Euler Region Regression for Neuromorphic Vision-Based Grasp Pose Estimation
This is the implementation of our recently work 'NeuroGrasp: Multimodal Neural Network With Euler Region Regression for Neuromorphic Vision-Based Grasp Pose Estimation'. We construct a neuromorphic vision-based robotic grasp dataset with 154 moving objects, named NeuroGrasp, which is the first RGB-Event multimodality grasp dataset (to the best of our knowledge). The dataset can be donwload from this link(https://drive.google.com/file/d/1YVBJct2aZmugWolKTI-d-zUoVKnViIb6/view?usp=sharing)
If you find it helpful for your research, please cite:
@ARTICLE{9787342,
author={Cao, Hu and Chen, Guang and Li, Zhijun and Hu, Yingbai and Knoll, Alois},
journal={IEEE Transactions on Instrumentation and Measurement},
title={NeuroGrasp: Multimodal Neural Network With Euler Region Regression for Neuromorphic Vision-Based Grasp Pose Estimation},
year={2022},
volume={71},
number={},
pages={1-11},
doi={10.1109/TIM.2022.3179469}}