| Real-time guidance of underwater gliders assisted by predictive ocean models D Chang, F Zhang, CR Edwards Journal of Atmospheric and Oceanic Technology 32 (3), 562-578, 2015 | 64 | 2015 |
| Motion tomography: Mapping flow fields using autonomous underwater vehicles D Chang, W Wu, CR Edwards, F Zhang The International Journal of Robotics Research 36 (3), 320-336, 2017 | 50 | 2017 |
| Energy-optimal control for autonomous underwater vehicles using economic model predictive control N Yang, D Chang, M Johnson-Roberson, J Sun IEEE Transactions on Control Systems Technology 30 (6), 2377-2390, 2022 | 29 | 2022 |
| Real-time modeling of ocean currents for navigating underwater glider sensing networks D Chang, X Liang, W Wu, CR Edwards, F Zhang Cooperative robots and sensor networks, 61-75, 2014 | 23 | 2014 |
| A bio-inspired plume tracking algorithm for mobile sensing swarms in turbulent flow D Chang, W Wu, DR Webster, MJ Weissburg, F Zhang 2013 IEEE International Conference on Robotics and Automation, 921-926, 2013 | 22 | 2013 |
| Real-time modelling of tidal current for navigating underwater glider sensing networks X Liang, W Wu, D Chang, F Zhang Procedia Computer Science 10, 1121-1126, 2012 | 20 | 2012 |
| A bio-inspired robust 3d plume tracking strategy using mobile sensor networks W Wu, D Chang, F Zhang 52nd IEEE Conference on Decision and Control, 4571-4578, 2013 | 19 | 2013 |
| A data assimilation framework for data-driven flow models enabled by motion tomography D Chang, CR Edwards, F Zhang, J Sun International Journal of Intelligent Robotics and Applications 3, 158-177, 2019 | 17 | 2019 |
| An active perception framework for autonomous underwater vehicle navigation under sensor constraints D Chang, M Johnson-Roberson, J Sun IEEE Transactions on Control Systems Technology 30 (6), 2301-2316, 2022 | 16 | 2022 |
| Glider CT: Reconstructing flow fields from predicted motion of underwater gliders W Wu, D Chang, F Zhang Proceedings of the 8th International Conference on Underwater Networks …, 2013 | 14 | 2013 |
| Motion tomography via occupation kernels BP Russo, R Kamalapurkar, D Chang, JA Rosenfeld arXiv preprint arXiv:2101.02677, 2021 | 13 | 2021 |
| Energy management for autonomous underwater vehicles using economic model predictive control N Yang, D Chang, MR Amini, M Johnson-Robersor, J Sun 2019 American Control Conference (ACC), 2639-2644, 2019 | 12 | 2019 |
| Glider CT: Analysis and experimental validation D Chang, W Wu, F Zhang Distributed Autonomous Robotic Systems: The 12th International Symposium …, 2016 | 11 | 2016 |
| Autonomous underwater docking using flow state estimation and model predictive control R Vivekanandan, D Chang, GA Hollinger 2023 IEEE International Conference on Robotics and Automation (ICRA), 1062-1068, 2023 | 10 | 2023 |
| Robust energy-optimal path following control for autonomous underwater vehicles in ocean currents N Yang, D Chang, M Johnson-Roberson, J Sun 2020 American Control Conference (ACC), 5119-5124, 2020 | 10 | 2020 |
| Energy-optimal path planning with active flow perception for autonomous underwater vehicles N Yang, D Chang, M Johnson-Roberson, J Sun 2021 IEEE International Conference on Robotics and Automation (ICRA), 9928-9934, 2021 | 7 | 2021 |
| Distributed motion tomography for reconstruction of flow fields D Chang, F Zhang, J Sun 2019 international conference on robotics and automation (ICRA), 8048-8054, 2019 | 7 | 2019 |
| An active perception approach for mid-water localization of autonomous underwater vehicles D Chang, M Johnson-Roberson, J Sun 2020 American Control Conference (ACC), 671-676, 2020 | 5 | 2020 |
| Resolving temporal variations in data-driven flow models constructed by motion tomography D Chang, F Zhang IFAC-PapersOnLine 49 (18), 182-187, 2016 | 5 | 2016 |
| Parallelized control-aware motion planning with learned controller proxies S Chow, D Chang, GA Hollinger IEEE Robotics and Automation Letters 8 (4), 2237-2244, 2023 | 4 | 2023 |
Fumin ZhangChair Professor, Hong Kong University of Science and TechnologyVerified email at ust.hk