| Unpiloted aerial systems (UASs) application for tornado damage surveys: Benefits and procedures M Wagner, RK Doe, A Johnson, Z Chen, J Das, RS Cerveny Bulletin of the American Meteorological Society 100 (12), 2405-2409, 2019 | 25 | 2019 |
| Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning Z Chen, TR Scott, S Bearman, H Anand, D Keating, C Scott, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 21 | 2020 |
| OpenUAV Cloud Testbed: a Collaborative Design Studio for Field Robotics H Anand, SA Rees, Z Chen, AJ Poruthukaran, S Bearman, LGP Antervedi, ... 2021 IEEE 17th International Conference on Automation Science and …, 2021 | 16* | 2021 |
| Data-driven approaches for tornado damage estimation with unpiloted aerial systems Z Chen, M Wagner, J Das, RK Doe, RS Cerveny Remote Sensing 13 (9), 1669, 2021 | 14 | 2021 |
| Terrain-relative diver following with autonomous underwater vehicle for coral reef mapping LGP Antervedi, Z Chen, H Anand, R Martin, R Arrowsmith, J Das 2021 IEEE 17th International Conference on Automation Science and …, 2021 | 7 | 2021 |
| Decision-Theoretic Approaches for Robotic Environmental Monitoring--A Survey Y Sung, Z Chen, J Das, P Tokekar arXiv preprint arXiv:2308.02698, 2023 | 6 | 2023 |
| Automated Geoscience with Robotics and Machine Learning: A New Hammer of Rock Detection, Mapping, and Dynamics Analysis Z Chen Arizona State University, 2022 | 5 | 2022 |
| Deep-learning approaches to object recognition from 3D Data Z Chen Case Western Reserve University, 2017 | 5 | 2017 |
| Quantifying and analysing rock trait distributions of rocky fault scarps using deep learning Z Chen, C Scott, D Keating, A Clarke, J Das, R Arrowsmith Earth Surface Processes and Landforms 48 (6), 1234-1250, 2023 | 3 | 2023 |
| Localization and Mapping of Sparse Geologic Features with Unpiloted Aircraft Systems Z Chen, S Bearman, JR Arrowsmith, J Das RSS Workshop on Robots in the Wild, 2020 | 2 | 2020 |
| Explain by Goal Augmentation: Explanation Generation as Inverse Planning Z Chen, Y Zhang RSS Workshop on Adversarial Robotics, 2018 | 2 | 2018 |
| Shakebot: A Low-cost, Open-source Shake Table for Ground Motion Seismic Studies Z Chen, D Keating, Y Shethwala, AAP Saravanakumaran, R Arrowsmith, ... arXiv preprint arXiv:2212.10763, 2022 | 1 | 2022 |
| Machine Learning Approach to Wildfire Effects on Debris Flow Hazard in Tonto, Arizona D Keating, Z Chen, J Das, R Arrowsmith AGU Fall Meeting Abstracts 2021, EP55A-1052, 2021 | 1 | 2021 |
| Autonomous Robotic Mapping of Fragile Geologic Features Z Chen, JR Arrowsmith, J Das arXiv preprint arXiv:2105.01287, 2021 | 1 | 2021 |
| Automated Treefall Detection using Zero-Shot Deep Learning E Tirone, MA Wagner, Z Chen, D Candela, E Rasmussen, MC Coniglio 104th AMS Annual Meeting, 2024 | | 2024 |
| Virtual Shake Robot: Simulating Dynamics of Precariously Balanced Rocks for Overturning and Large-displacement Processes Z Chen, R Arrowsmith, J Das, C Wittich, C Madugo, A Kottke Seismica 3 (1), 2024 | | 2024 |
| Measurement of fine root traits using 3D photogrammetric computational models E Navarro-Perez, A Cueva, Z Chen, D Keating, J Das, H Throop AGU23, 2023 | | 2023 |
| Segmenting geologic landforms using zero-shot deep learning and lidar topography Z Chen, C Scott, MF Schwarz, S Johnstone, CJ Crosby, R Arrowsmith AGU23, 2023 | | 2023 |
| A Survey of Decision-Theoretic Approaches for Robotic Environmental Monitoring Y Sung, Z Chen, J Das, P Tokekar Foundations and Trends® in Robotics 11 (4), 225-315, 2023 | | 2023 |
| Artificial Intelligence Assists in the Estimation of Hypolith Distribution in the Namib Desert C Collins, H Anand, Z Chen, LM Aparecido, J Das, H Throop AGU Fall Meeting Abstracts 2021, B25F-1530, 2021 | | 2021 |
