| Planning Multi-Fingered Grasps as Probabilistic Inference in a Learned Deep Network Q Lu, K Chenna, B Sundaralingam, T Hermans International Symposium on Robotics Research (ISRR), 2017 | 106 | 2017 |
| Learning continuous 3d reconstructions for geometrically aware grasping M Van der Merwe, Q Lu, B Sundaralingam, M Matak, T Hermans 2020 IEEE International Conference on Robotics and Automation (ICRA), 11516 …, 2020 | 96 | 2020 |
| Multifingered grasp planning via inference in deep neural networks: Outperforming sampling by learning differentiable models Q Lu, M Van der Merwe, B Sundaralingam, T Hermans IEEE Robotics & Automation Magazine 27 (2), 55-65, 2020 | 70 | 2020 |
| Modeling grasp type improves learning-based grasp planning Q Lu, T Hermans IEEE Robotics and Automation Letters 4 (2), 784-791, 2019 | 43 | 2019 |
| Play type recognition in real-world football video S Chen, Z Feng, Q Lu, B Mahasseni, T Fiez, A Fern, S Todorovic IEEE Winter Conference on Applications of Computer Vision, 652-659, 2014 | 42 | 2014 |
| Multi-fingered active grasp learning Q Lu, M Van der Merwe, T Hermans 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 32 | 2020 |
| Excavation reinforcement learning using geometric representation Q Lu, Y Zhu, L Zhang IEEE Robotics and Automation Letters 7 (2), 4472-4479, 2022 | 16 | 2022 |
| Excavation learning for rigid objects in clutter Q Lu, L Zhang IEEE Robotics and Automation Letters 6 (4), 7373-7380, 2021 | 13 | 2021 |
| Grasp Planning Using Probabilistic Inference Q Lu The University of Utah, 2020 | | 2020 |
| Offensive Direction Inference in Real-World Football Video Q Lu | | 2015 |
Tucker HermansAssociate Professor, School of Computing, University of Utah; Senior Research Scientist, NVIDIAVerified email at cs.utah.edu
