| 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 | 364 | 2020 |
| Tartanvo: A generalizable learning-based vo W Wang, Y Hu, S Scherer Conference on Robot Learning, 1761-1772, 2021 | 161 | 2021 |
| 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 | 105 | 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 | 101 | 2019 |
| 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 | 73 | 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 | 66 | 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 | 63 | 2018 |
| How does it feel? self-supervised costmap learning for off-road vehicle traversability MG Castro, S Triest, W Wang, JM Gregory, F Sanchez, JG Rogers, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 931-938, 2023 | 62 | 2023 |
| 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 | 56 | 2022 |
| 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 | 56 | 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 | 50 | |
| DytanVO: Joint refinement of visual odometry and motion segmentation in dynamic environments S Shen, Y Cai, W Wang, S Scherer 2023 IEEE International Conference on Robotics and Automation (ICRA), 4048-4055, 2023 | 47 | 2023 |
| Ubiquitous robotic technology for smart manufacturing system W Wang, X Zhu, L Wang, Q Qiu, Q Cao Computational Intelligence and Neuroscience 2016 (1), 6018686, 2016 | 38 | 2016 |
| PyPose: A library for robot learning with physics-based optimization C Wang, D Gao, K Xu, J Geng, Y Hu, Y Qiu, B Li, F Yang, B Moon, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 37 | 2023 |
| Learning risk-aware costmaps via inverse reinforcement learning for off-road navigation S Triest, MG Castro, P Maheshwari, M Sivaprakasam, W Wang, S Scherer 2023 IEEE International Conference on Robotics and Automation (ICRA), 924-930, 2023 | 28 | 2023 |
| Visual memorability for robotic interestingness via unsupervised online learning C Wang, W Wang, Y Qiu, Y Hu, S Scherer European Conference on Computer Vision, 52-68, 2020 | 26 | 2020 |
| 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 | 19 | 2021 |
| 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 | 18 | 2021 |
| TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks M Sivaprakasam, P Maheshwari, MG Castro, S Triest, M Nye, S Willits, ... arXiv preprint arXiv:2402.01913, 2024 | 17 | 2024 |
| 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 | 17 | 2021 |
Sebastian SchererAssociate Research Professor, Carnegie Mellon UniversityPreverjeni e-poštni naslov na andrew.cmu.edu