| Planning for multi-object manipulation with graph neural network relational classifiers Y Huang, A Conkey, T Hermans 2023 IEEE International Conference on Robotics and Automation (ICRA), 1822-1829, 2023 | 15 | 2023 |
| Active learning of probabilistic movement primitives A Conkey, T Hermans 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 2019 | 14 | 2019 |
| Learning Task Constraints from Demonstration for Hybrid Force/Position Control A Conkey, T Hermans 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 2019 | 11 | 2019 |
| Latent Space Planning for Multi-Object Manipulation with Environment-Aware Relational Classifiers Y Huang, NC Taylor, A Conkey, W Liu, T Hermans arXiv preprint arXiv:2305.10857, 2023 | 2 | 2023 |
| Planning under Uncertainty to Goal Distributions A Conkey, T Hermans arXiv preprint arXiv:2011.04782, 2020 | 2 | 2020 |
| Skill Planning Under State and Goal Uncertainty for Robot Manipulation Tasks A Conkey The University of Utah, 2022 | | 2022 |
| Deepening the Automated Search for Gödel's Proofs A Conkey, W Sieg Carnegie Mellon University, 2011 | | 2011 |
Tucker HermansAssociate Professor, School of Computing, University of Utah; Senior Research Scientist, NVIDIAVerified email at cs.utah.edu
