| Slim and efficient neural network design for resource-constrained SAR target recognition H Chen, F Zhang, B Tang, Q Yin, X Sun Remote Sensing 10 (10), 1618, 2018 | 48 | 2018 |
| Safe and sample-efficient reinforcement learning for clustered dynamic environments H Chen, C Liu IEEE Control Systems Letters 6, 1928-1933, 2021 | 12 | 2021 |
| Planning with sequence models through iterative energy minimization H Chen, Y Du, Y Chen, J Tenenbaum, PA Vela The International Conference on Learning Representations, 2023 | 7 | 2023 |
| SGL: Symbolic Goal Learning in a Hybrid, Modular Framework for Human Instruction Following R Xu, H Chen, Y Lin, PA Vela IEEE Robotics and Automation Letters 7 (4), 10375-10382, 2022 | 5 | 2022 |
| KGNv2: Separating Scale and Pose Prediction for Keypoint-Based 6-DoF Grasp Synthesis on RGB-D Input Y Chen, R Xu, Y Lin, H Chen, PA Vela 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 4 | 2023 |
| Zero-Shot Object Searching Using Large-scale Object Relationship Prior H Chen, R Xu, S Cheng, PA Vela, D Xu arXiv preprint arXiv:2303.06228, 2023 | 3 | 2023 |
| Safe hierarchical navigation in crowded dynamic uncertain environments H Chen, S Feng, Y Zhao, C Liu, PA Vela 2022 IEEE 61st Conference on Decision and Control (CDC), 1174-1181, 2022 | 3 | 2022 |
| {Lock-Free} Collaboration Support for Cloud Storage Services with Operation Inference and Transformation J Chen, M Zhao, Z Li, E Zhai, F Qian, H Chen, Y Liu, T Xu 18th USENIX Conference on File and Storage Technologies (FAST 20), 13-27, 2020 | 3 | 2020 |
| KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation H Chen, A Abuduweili, A Agrawal, Y Han, H Ravichandar, C Liu, ... 8th Annual Conference on Robot Learning (CoRL), 2024 | 1 | 2024 |
| Clear-Splatting: Learning Residual Gaussian Splats for Transparent Object Manipulation A Agrawal, R Roy, BP Duisterhof, KB Hekkadka, H Chen, J Ichnowski RoboNerF: 1st Workshop On Neural Fields In Robotics at ICRA 2024, 2024 | 1 | 2024 |
| Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts H Chen, Y Yao, R Liu, C Liu, J Ichnowski arXiv preprint arXiv:2409.03966, 2024 | | 2024 |
Patricio A. VelaAssociate Professor of Electrical and Computer Engineering在 gatech.edu 的电子邮件经过验证
