| Toward general-purpose robots via foundation models: A survey and meta-analysis Y Hu, Q Xie, V Jain, J Francis, J Patrikar, N Keetha, S Kim, Y Xie, T Zhang, ... arXiv preprint arXiv:2312.08782, 2023 | 9 | 2023 |
| Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagery T Zhang, M Johnson-Roberson IEEE Robotics and Automation Letters 8 (10), 6467-6474, 2023 | 6 | 2023 |
| Customizable Perturbation Synthesis for Robust SLAM Benchmarking X Xu, T Zhang, S Wang, X Li, Y Chen, Y Li, B Raj, M Johnson-Roberson, ... arXiv preprint arXiv:2402.08125, 2024 | 3 | 2024 |
| Learning from demonstration via probabilistic diagrammatic teaching W Zhi, T Zhang, M Johnson-Roberson ICRA 2024, 2024 | 3 | 2024 |
| Learning cross-scale visual representations for real-time image geo-localization T Zhang, M Johnson-Roberson IEEE Robotics and Automation Letters 7 (2), 5087-5094, 2022 | 3 | 2022 |
| DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark T Zhang, K Huang, W Zhi, M Johnson-Roberson arXiv preprint arXiv:2403.10814, 2024 | 1 | 2024 |
| Learning Orbitally Stable Systems for Diagrammatic Teaching W Zhi, K Liu, T Zhang, M Johnson-Roberson CoRL 2023 Workshop on Learning Effective Abstractions for Planning (LEAP), 2023 | 1 | 2023 |
| Unifying Scene Representation and Hand-Eye Calibration with 3D Foundation Models W Zhi, H Tang, T Zhang, M Johnson-Roberson arXiv preprint arXiv:2404.11683, 2024 | | 2024 |
| Diagrammatic Instructions to Specify Spatial Objectives and Constraints with Applications to Mobile Base Placement Q Sun, W Zhi, T Zhang, M Johnson-Roberson arXiv preprint arXiv:2403.12465, 2024 | | 2024 |
| Learning Orbitally Stable Systems for Diagrammatically Teaching W Zhi, K Liu, T Zhang, M Johnson-Roberson arXiv preprint arXiv:2309.10298, 2023 | | 2023 |
| Reasoning about the Unseen for Efficient Outdoor Object Navigation Q Xie, T Zhang, K Xu, M Johnson-Roberson, Y Bisk arXiv preprint arXiv:2309.10103, 2023 | | 2023 |
| Learning Neural Reflectance Fields for True Color Correction and Novel-View Synthesis of Underwater Robotic Imagery T Zhang, Q Sun, M Johnson-Roberson | | |
| Features in the Point Cloud: An Automatic Approach to High Density LiDAR to Camera Calibration T Zhang, E Iscar, M Johnson-Roberson | | |
Matthew Johnson-RobersonProfessor of Robotics, Carnegie Mellon Universitycmu.edu의 이메일 확인됨
