Tartanair: A dataset to push the limits of visual slam W Wang, D Zhu, X Wang, Y Hu, Y Qiu, C Wang, Y Hu, A Kapoor, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 188 | 2020 |
Autonomous aerial cinematography in unstructured environments with learned artistic decision‐making R Bonatti, W Wang, C Ho, A Ahuja, M Gschwindt, E Camci, E Kayacan, ... Journal of Field Robotics 37 (4), 606-641, 2020 | 81 | 2020 |
Towards a robust aerial cinematography platform: Localizing and tracking moving targets in unstructured environments R Bonatti, C Ho, W Wang, S Choudhury, S Scherer 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 75 | 2019 |
Tartanvo: A generalizable learning-based vo W Wang, Y Hu, S Scherer Conference on Robot Learning, 1761-1772, 2021 | 65 | 2021 |
Autonomous drone cinematographer: Using artistic principles to create smooth, safe, occlusion-free trajectories for aerial filming R Bonatti, Y Zhang, S Choudhury, W Wang, S Scherer Proceedings of the 2018 international symposium on experimental robotics …, 2020 | 54 | 2020 |
Can a robot become a movie director? learning artistic principles for aerial cinematography M Gschwindt, E Camci, R Bonatti, W Wang, E Kayacan, S Scherer 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 50 | 2019 |
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories Y Zhang, W Wang, R Bonatti, D Maturana, S Scherer arXiv preprint arXiv:1810.07225, 2018 | 47 | 2018 |
Ubiquitous robotic technology for smart manufacturing system W Wang, X Zhu, L Wang, Q Qiu, Q Cao Computational Intelligence and Neuroscience 2016, 2016 | 35 | 2016 |
Visual memorability for robotic interestingness via unsupervised online learning C Wang, W Wang, Y Qiu, Y Hu, S Scherer Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 23 | 2020 |
AirDOS: dynamic SLAM benefits from articulated objects Y Qiu, C Wang, W Wang, M Henein, S Scherer 2022 International Conference on Robotics and Automation (ICRA), 8047-8053, 2022 | 20 | 2022 |
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models S Triest, M Sivaprakasam, SJ Wang, W Wang, AM Johnson, S Scherer 2022 International Conference on Robotics and Automation (ICRA), 2546-2552, 2022 | 19 | 2022 |
Tartanair: A dataset to push the limits of visual slam. In 2020 IEEE W Wang, D Zhu, X Wang, Y Hu, Y Qiu, C Wang, Y Hu, A Kapoor, ... RSJ International Conference on Intelligent Robots and Systems (IROS), 4909-4916, 0 | 17 | |
使用三维栅格地图的移动机器人路径规划 张彪, 曹其新, 王雯珊 西安交通大学学报 47 (10), 57-61, 2013 | 16 | 2013 |
Unsupervised online learning for robotic interestingness with visual memory C Wang, Y Qiu, W Wang, Y Hu, S Kim, S Scherer IEEE Transactions on Robotics 38 (4), 2446-2461, 2021 | 12 | 2021 |
Improving Learning-based Ego-motion Estimation with Homomorphism-based Losses and Drift Correction X Wang, D Maturana, S Yang, W Wang, Q Chen, S Scherer 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 12 | 2019 |
Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning SJ Wang, S Triest, W Wang, S Scherer, A Johnson 5th Annual Conference on Robot Learning, 2021 | 11 | 2021 |
An automatic switching approach of robotic components for improving robot localization reliability in complicated environment W Wang, Q Cao, X Zhu, M Adachi Industrial robot: an international journal 41 (2), 135-144, 2014 | 10 | 2014 |
Improving Off-road Planning Techniques with Learned Costs from Physical Interactions M Sivaprakasam, S Triest, W Wang, P Yin, S Scherer 2021 IEEE International Conference on Robotics and Automation (ICRA), 4844-4850, 2021 | 8 | 2021 |
A framework for intelligent service environments based on middleware and general purpose task planner W Wang, Q Cao, X Zhu, S Liang 2015 International Conference on Intelligent Environments, 184-187, 2015 | 8 | 2015 |
VDB-EDT: An efficient Euclidean distance transform algorithm based on VDB data structure D Zhu, C Wang, W Wang, R Garg, S Scherer, MQH Meng arXiv preprint arXiv:2105.04419, 2021 | 7 | 2021 |