GP-net: Grasp Proposal for Mobile Manipulators

<p>This dataset includes all trained models and data to use and replicate our work for GP-net (under review for ICRA 2023).<br> <br> The pre-trained model for using GP-net on a PAL TIAGo mobile manipulator with a parallel jaw gripper is available in GP-net_model_pretrained.zip. It can be used with our <a href="https://github.com/AuCoRoboticsMU/gpnet-ros">gpnet-ros</a> repository.<br> <br> If you want to use our dataset and train an alternative network architecture from scratch, use GP-net_training_data.zip. You can use it with the <a href="https://github.com/AuCoRoboticsMU/GP-net">GP-net</a> repository to train models. If you want to run simulation experiments with your trained model, download GP-net_simulation_data.zip for the URDFs of the test objects and pal gripper.<br> <br> If you want to generate a new dataset for an alternative gripper, you can use the <a href="https://github.com/AuCoRoboticsMU/gpnet-data">gpnet-data</a> repository, which is based on DexNet2.0. The docker image to run the code is available here under gpnet-data_docker_image.tar</p> <p>&nbsp;</p>