Bowen Wen

I am a research scientist at NVIDIA Research. My research areas include robotic perception, computer vision. Specifically, I work on 3D visual perception and learning to facilitate robotics or embodied AI. I obtained my PhD degree in Computer Science from Rutgers University in 2022, advised by Prof. Kostas Bekris. During my PhD, I've spent wonderful summers with Google[X], Facebook Reality Labs, Amazon Lab 126 and SenseTime working as a research intern. Previously, I obtained MS degree in ECE from Ohio State University in 2018 and BS degree in Energy and Automation from Xi'an Jiaotong University in 2016.

Email: wenbowenxjtu [at] gmail [dot] com

Research Interests: Robotics, Computer Vision, Artificial Intelligence

I'm always looking for self-motivated research interns. Please email me your CV if you are interested!

Industry Experience


Selected Publications

Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Muller, Alex Evans, Dieter Fox, Jan Kautz, Stan Birchfield
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
CVPR 2023
[pdf] [code] [project page] [video]

Star Fork

Bowen Wen, Wenzhao Lian, Kostas Bekris, Stefan Schaal
You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
RSS 2022
Best Paper Award nomination
[pdf] [code of tracking] [code of grasping] [video]
Bowen Wen, Wenzhao Lian, Kostas Bekris, Stefan Schaal
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
ICRA 2022
[pdf] [code] [video]

Star Fork

Andrew Morgan*, Kaiyu Hang*, Bowen Wen, Kostas E Bekris, Aaron Dollar
Complex In-Hand Manipulation via Compliance-Enabled Finger Gaiting and Multi-Modal Planning
IEEE Robotics and Automation Letters 2022
[pdf] [video] [news coverage]
Junchi Liang, Bowen Wen, Kostas Bekris, Abdeslam Boularias
Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations
ICRA 2022
[pdf] [video]
Bowen Wen, Kostas E. Bekris
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
IROS 2021
[pdf] [code] [presentation video] [supplementary video]

Star Fork

Andrew S. Morgan*, Bowen Wen*, Junchi Liang, Abdeslam Boularias, Aaron M. Dollar, Kostas Bekris (* equal contribution)
Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks
RSS 2021

[pdf] [video]
Bowen Wen, Chaitanya Mitash, Baozhang Ren, Kostas Bekris
se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
IROS 2020
[pdf] [code] [supplementary video] [presentation video]

Star Fork

Mitash, Chaitanya, Shome, Rahul, Wen, Bowen, Boularias, Abdeslam, Bekris, Kostas
Task-driven Perception and Manipulation for Constrained Placement with No Shape Priors
RA-L and IROS 2020
[pdf] [video]
Bowen Wen, Chaitanya Mitash, Sruthi Soorian, Andrew Kimmel, Avishai Sintov, Kostas E. Bekris
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands
IEEE International Conference on Robotics and Automation (ICRA) 2020
[pdf] [code] [video]

Star Fork

Andrew Kimmel, Avishai Sintov, Juntao Tan, Bowen Wen, Abdeslam Boularias, Kostas Bekris
Belief-Space Planning Using Learned Models With Application To Underactuated Hands
International Symposium on Robotics Research (ISRR) 2019
[pdf] [video]
Chaitanya Mitash, Bowen Wen, Kostas Bekris, Abdeslam Boularias
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects
Conference on Robot Learning (CoRL) 2019
[pdf] [code] [video]
Bowen Wen, Sukru Yaren Gelbal, Bilin Aksun Guvenc, Levent Guvenc
Localization and Perception for Control and Decision-Making of a Low-Speed Autonomous Shuttle in a Campus Pilot Deployment.
SAE International Journal of Connected and Automated Vehicles 2018
[pdf] [code] [video]

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Academic Services

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