Wenshan Wang

Systems Scientist

Home Department: RI

Office: 1305 Wean Hall

Personal Homepage

Administrative Assistant: Devin Frank

Lab: AirLab

My research interests is in reinforcement learning and deep neural networks. I’d like to develop an end to end algorithm for robot perception, control and actuation based on reinforcement deep neural networks.

Research Topics

Displaying 20 Publications

2023

How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability

Mateo Guaman Castro, Samuel Triest, Wenshan Wang, Jason M. Gregory, Felix Sanchez, John G. Rogers III, and Sebastian Scherer

Conference Paper, Proceedings of (ICRA) International Conference on Robotics and Automation, May, 2023

DytanVO: Joint refinement of visual odometry and motion segmentation in dynamic environments

Shen S, Cai Y, Wang W, and Scherer S

Conference Paper, Proceedings of 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 4048-4055, 2023

Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation

Triest S, Castro MG, Maheshwari P, Sivaprakasam M, Wang W, and Scherer S

Conference Paper, Proceedings of 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 924-930, 2023

PIAug--Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation

Maheshwari P, Wang W, Triest S, Sivaprakasam M, Aich S, Rogers III JG, Gregory JM, and Scherer S

Journal Article, arXiv preprint arXiv:2311. 00815, 2023

TartanDrive 1.5: Improving Large Multimodal Robotics Dataset Collection and Distribution

Sivaprakasam M, Triest S, Castro MG, Nye M, Maulimov M, Ho C, Maheshwari P, Wang W, and Scherer S

Conference Paper, Proceedings of ICRA2023 Workshop on Pretraining for Robotics (PT4R), 2023

2022

AirDOS: Dynamic SLAM benefits from Articulated Objects

Yuheng Qiu, Chen Wang, Wenshan Wang, Mina Henein, and Sebastian Scherer

Conference Paper, Proceedings of (ICRA) International Conference on Robotics and Automation, May, 2022

Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning

Wang SJ, Triest S, Wang W, Scherer S, and Johnson A

Conference Paper, Proceedings of the 5th Conference on Robot Learning, Vol. 164, pp. 224-233, 2022

TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models

Triest S, Sivaprakasam M, Wang SJ, Wang W, Johnson AM, and Scherer S

Conference Paper, Proceedings of 2022 International Conference on Robotics and Automation (ICRA), 2022

2021

Unsupervised Online Learning for Robotic Interestingness with Visual Memory

Chen Wang, Yuheng Qiu, Wenshan Wang, Yafei Hu, Seungchan Kim, and Sebastian Scherer

Journal Article, IEEE Transactions on Robotics, November, 2021

Improving Off-Road Planning Techniques with Learned Costs from Physical Interactions

Sivaprakasam M, Triest S, Wang W, Yin P, and Scherer S

Conference Paper, Proceedings - IEEE International Conference on Robotics and Automation, pp. 4844-4850, May, 2021

current masters students

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Research

Publications

Students/Affiliates

Research Topics

current masters students

Wenshan Wang

Mailing Address

Statement

Research

Publications

Students/Affiliates

Research Topics

current masters students