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 robotic manipulations. 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

Drop me a line if you need a reviewer!

Industry Experience

News

• [2023/01] Two papers accepted to ICRA 2023.
• [2022/05] I graduated from PhD and will join NVIDIA Research as a Research Scientist.
• [2022/04] One paper accepted to RSS.
• [2022/01] Three papers accepted to ICRA and one also accepted to RAL.
• [2021/06] One paper accepted to IROS 2021.
• [2021/05] One paper accepted to RSS 2021.
• [2021/01] I will start my research internship with Google[X] (the moonshot factory), in summer 2021.
• [2020/07] One paper accepted to IROS 2020.
• [2020/07] One paper accepted to RA-L and will also appear in IROS 2020.
• [2020/03] Our paper "Tools For Data-Driven Modeling Of Within-Hand Manipulation With Underactuated Adaptive Hands" has been accepted to L4DC (Learning for Dynamics & Control) 2020.
• [2020/02] Our paper "Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands" has been accepted to ICRA 2020.
• [2020/05] I will start my summer Research Intern at Facebook Reality Labs, Redmond, Seattle.

Selected Publications

	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, "Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks", RSS 2021 (* equal contribution) [pdf] [video]
	Bowen Wen, Chaitanya Mitash, Baozhang Ren, Kostas E. 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 E., "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
	Avishai Sintov, Andrew Kimmel, Bowen Wen, Abdeslam Boularias, Kostas Bekris, "Tools for Data-driven Modeling of Within-Hand Manipulation with Underactuated Adaptive Hands", L4DC (Learning for Dynamics & Control) 2020 [pdf] [code]
	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]
	Wen, Bowen, Sukru Yaren Gelbal, Bilin Aksun Guvenc, and 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 1, no. 12-01-02-0003 (2018): 53-66. [pdf] [code] [video] Star Fork

Academic Services

• Invited Chair for IROS (IEEE/RSJ International Conference on Intelligent Robots and Systems) session "Visual Tracking II" 2021
• Reviewer for following conferences and journals:
  • TPAMI (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • TRO (IEEE Transactions on Robotics)
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • RAL (IEEE Robotics and Automation Letters)
  • ICRA (International Conference on Robotics and Automation)
  • IROS (IEEE/RSJ International Conference on Intelligent Robots and Systems)
  • CoRL (Conference on Robot Learning)
  • Neurocomputing
  • ICVS (International Conference on Computer Vision Systems)
  • IECON (Annual Conference of the IEEE Industrial Electronics Society (IES))

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