Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Fields, SE(3) Equivariance and Riemannian Mixture Models. Choi, H. J. & Figueroa, N. In IEEE International Conference on Robotics and Automation (ICRA), 2024.
Paper bibtex 2 downloads @INPROCEEDINGS{choi2024grasping,
author={Ho Jin Choi and Nadia Figueroa},
booktitle={IEEE International Conference on Robotics and Automation (ICRA)},
title={Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Fields, SE(3) Equivariance and Riemannian Mixture Models},
year={2024},
volume={},
number={},
pages={},
url={https://arxiv.org/abs/2311.02576},
}
Downloads: 2
{"_id":"okwzbeBtEP3aDN3ak","bibbaseid":"choi-figueroa-towardsfeasibledynamicgraspingleveraginggaussianprocessdistancefieldsse3equivarianceandriemannianmixturemodels-2024","author_short":["Choi, H. J.","Figueroa, N."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Ho","Jin"],"propositions":[],"lastnames":["Choi"],"suffixes":[]},{"firstnames":["Nadia"],"propositions":[],"lastnames":["Figueroa"],"suffixes":[]}],"booktitle":"IEEE International Conference on Robotics and Automation (ICRA)","title":"Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Fields, SE(3) Equivariance and Riemannian Mixture Models","year":"2024","volume":"","number":"","pages":"","url":"https://arxiv.org/abs/2311.02576","bibtex":"@INPROCEEDINGS{choi2024grasping,\n author={Ho Jin Choi and Nadia Figueroa},\n booktitle={IEEE International Conference on Robotics and Automation (ICRA)}, \n title={Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Fields, SE(3) Equivariance and Riemannian Mixture Models}, \n year={2024},\n volume={},\n number={},\n pages={},\n url={https://arxiv.org/abs/2311.02576},\n}\n\n","author_short":["Choi, H. J.","Figueroa, N."],"key":"choi2024grasping","id":"choi2024grasping","bibbaseid":"choi-figueroa-towardsfeasibledynamicgraspingleveraginggaussianprocessdistancefieldsse3equivarianceandriemannianmixturemodels-2024","role":"author","urls":{"Paper":"https://arxiv.org/abs/2311.02576"},"metadata":{"authorlinks":{}},"downloads":2},"bibtype":"inproceedings","biburl":"https://www.dropbox.com/s/x2bon6vqlc79ekc/FigueroaPublications.bib?dl=1","dataSources":["QscCmn2DGDfW7oiMm","Myci9twJQBkzgwjJt","CaGiEo4vZFJvt7iqr"],"keywords":[],"search_terms":["towards","feasible","dynamic","grasping","leveraging","gaussian","process","distance","fields","equivariance","riemannian","mixture","models","choi","figueroa"],"title":"Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Fields, SE(3) Equivariance and Riemannian Mixture Models","year":2024,"downloads":2}