Kechun Xu

I am a fourth-year PhD (Sep. 2021 - ) student in Control Science and Engineering department at Zhejiang University. I belong to Robotics Lab, advised by Prof. Rong Xiong and Yue Wang. I am currently a visiting student at MSC Lab in UC Berkeley, advised by Prof. Masayoshi Tomizuka. I also spent time in Alibaba Cloud and ZJ Humanoid as a research intern.

I obtained my B.Eng (Sep. 2017 - Jun. 2021) in Control Science and Engineering and Mechanical and Electronic Engineering from Zhejiang University with an honor degree at Chu Kochen Honor College.

My current research interests lie in robotic manipulation, robot learning, and embodied AI. My research goal is to develop human-level intelligence in robotic manipulation, including dexterity (of human-like behaviors), efficiency (in planning and learning), and generalization (to open scenarios).

I am now open to potential academic and industry job opportunities. Please feel free to contact me!

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profile photo

Photo taken by Zizhang Li.


Recent News
  • [11/2024] Honored to receive ARTS Scholarship (Top 5 in China).
  • [10/2024] One paper GSP accepted to TRO 2024.

Publications

Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter
Kechun Xu, Xunlong Xia, Kaixuan Wang, Yifei Yang, Yunxuan Mao, Bing Deng, Rong Xiong, Yue Wang
Under Revision

Revisit Mixture Models for Multi-Agent Simulation: Experimental Study within a Unified Framework
Longzhong Lin, Xuewu Lin, Kechun Xu, Haojian Lu, Lichao Huang, Rong Xiong, Yue Wang
Under Review

PolyFold: A Generalizable Framework for Language-Conditioned Bimanual Cloth Folding
Haozhe Du, Kechun Xu, Rong Xiong, Yue Wang
Under Review

Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions
He Zhu, Quyu Kong, Kechun Xu, Xunlong Xia, Bing Deng, Jieping Ye, Rong Xiong, Yue Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2025)

Grasp, See, and Place: Efficient Unknown Object Rearrangement with Policy Structure Prior
Kechun Xu, Zhongxiang Zhou, Jun Wu, Haojian Lu, Rong Xiong, Yue Wang
IEEE Transactions on Robotics (T-RO 2024)
IEEE International Conference on Robotics and Automation (ICRA 2025)

Adapting for Calibration Disturbances: A Neural Uncalibrated Visual Servoing Policy
Hongxiang Yu, Anzhe Chen, Kechun Xu, Dashun Guo, Yufei Wei, Zhongxiang Zhou, Xuebo Zhang, Yue Wang, Rong Xiong
IEEE International Conference on Robotics and Automation (ICRA 2024)

A Hyper-network Based End-to-end Visual Servoing with Arbitrary Desired Poses
Hongxiang Yu, Anzhe Chen, Kechun Xu, Zhongxiang Zhou, Wei Jing, Yue Wang, Rong Xiong
IEEE Robotics and Automation Letter (RA-L 2023)
IEEE International Conference on Robotics and Automation (ICRA 2024)

Object-centric Inference for Language Conditioned Placement: A Foundation Model based Approach
Zhixuan Xu, Kechun Xu, Yue Wang, Rong Xiong
IEEE International Conference on Advanced Robotics and Mechatronics (ICARM 2023)

A Joint Modeling of Vision-Language-Action for Target-oriented Grasping in Clutter
Kechun Xu, Shuqi Zhao, Zhongxiang Zhou, Zizhang Li, Huaijin Pi, Yifeng Zhu, Yue Wang, Rong Xiong
IEEE International Conference on Robotics and Automation (ICRA 2023)

Failure-aware Policy Learning for Self-assessable Robotics Tasks
Kechun Xu, Runjian Chen, Shuqi Zhao, Zizhang Li, Hongxiang Yu, Ci Chen, Yue Wang, Rong Xiong
IEEE International Conference on Robotics and Automation (ICRA 2023)

Learning A Simulation-based Visual Policy for Real-world Peg In Unseen Holes
Liang Xie, Hongxiang Yu, Kechun Xu, Tong Yang, Minhang Wang, Haojian Lu, Rong Xiong, Yue Wang
Review of Scientific Instruments (RSI 2023)

E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context
Zizhang Li, Mengmeng Wang, Huaijin Pi, Kechun Xu, Jianbiao Mei, Yong Liu
European Conference on Computer Vision (ECCV 2022)

Efficient Object Manipulation to an Arbitrary Goal Pose: Learning-based Anytime Prioritized Planning
Kechun Xu, Hongxiang Yu, Renlang Huang, Dashun Guo, Yue Wang, Rong Xiong
IEEE International Conference on Robotics and Automation (ICRA 2022)

Neural Motion Prediction for In-flight Uneven Object Catching
Hongxiang Yu, Dashun Guo, Huan Yin, Anzhe Chen, Kechun Xu, Yue Wang, Rong Xiong
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)

Efficient Learning of Goal-oriented Push-grasping Synergy in Clutter
Kechun Xu, Hongxiang Yu, Qianen Lai, Yue Wang, Rong Xiong
IEEE Robotics and Automation Letter (RA-L with IROS 2021 option)


Services
  • Reviewer of RSS, ICRA, IROS, Humanoid, RA-L, T-ASE, T-CDS.
Selected Honors and Awards

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