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Wenshan Wang
Wenshan Wang
在 andrew.cmu.edu 的电子邮件经过验证 - 首页
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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
2682020
Tartanvo: A generalizable learning-based vo
W Wang, Y Hu, S Scherer
Conference on Robot Learning, 1761-1772, 2021
1052021
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
942020
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
912019
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
652020
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
602019
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
552018
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
382022
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
362016
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
342022
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
34
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
272020
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
242023
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
202023
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
202023
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
162021
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
152023
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
152021
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
152013
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
132021
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