Chenxi Wang

According to our database, Chenxi Wang authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Learning Dexterous Manipulation with Quantized Hand State.

Ying Feng, Hongjie Fang, Yinong He, Jingjing Chen, Chenxi Wang, Zihao He, Ruonan Liu, Cewu Lu

CoRR, September, 2025

History-Aware Visuomotor Policy Learning via Point Tracking.

Jingjing Chen, Hongjie Fang, Chenxi Wang, Shiquan Wang, Cewu Lu

CoRR, September, 2025

AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons.

Hongjie Fang, Chenxi Wang, Yiming Wang, Jingjing Chen, Shangning Xia, Jun Lv, Zihao He, Xiyan Yi, Yunhan Guo, Xinyu Zhan, Lixin Yang, Weiming Wang, Cewu Lu, Haoshu Fang

CoRR, March, 2025

AnyDexGrasp: General Dexterous Grasping for Different Hands with Human-level Learning Efficiency.

Haoshu Fang, Hengxu Yan, Zhenyu Tang, Hongjie Fang, Chenxi Wang, Cewu Lu

CoRR, February, 2025

2024

RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective.

Chenxi Wang, Hongjie Fang, Haoshu Fang, Cewu Lu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot.

Haoshu Fang, Hongjie Fang, Zhenyu Tang, Jirong Liu, Chenxi Wang, Junbo Wang, Haoyi Zhu, Cewu Lu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains.

Haoshu Fang, Chenxi Wang, Hongjie Fang, Minghao Gou, Jirong Liu, Hengxu Yan, Wenhai Liu, Yichen Xie, Cewu Lu

IEEE Trans. Robotics, October, 2023

Robust grasping across diverse sensor qualities: The GraspNet-1Billion dataset.

Haoshu Fang, Minghao Gou, Chenxi Wang, Cewu Lu

Int. J. Robotics Res., October, 2023

Target-referenced Reactive Grasping for Dynamic Objects.

Jirong Liu, Ruo Zhang, Haoshu Fang, Minghao Gou, Hongjie Fang, Chenxi Wang, Sheng Xu, Hengxu Yan, Cewu Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images.

Minghao Gou, Haoshu Fang, Zhanda Zhu, Sheng Xu, Chenxi Wang, Cewu Lu

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Simple Baseline for Single Human Motion Forecasting.

Chenxi Wang, Yunfeng Wang, Zixuan Huang, Zhiwen Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Graspness Discovery in Clutters for Fast and Accurate Grasp Detection.

Chenxi Wang, Haoshu Fang, Minghao Gou, Hongjie Fang, Jin Gao, Cewu Lu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Transferable Active Grasping and Real Embodied Dataset.

Xiangyu Chen, Zelin Ye, Jiankai Sun, Yuda Fan, Fang Hu, Chenxi Wang, Cewu Lu

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping.

Haoshu Fang, Chenxi Wang, Minghao Gou, Cewu Lu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

GraspNet: A Large-Scale Clustered and Densely Annotated Datase for Object Grasping.

Haoshu Fang, Chenxi Wang, Minghao Gou, Cewu Lu

CoRR, 2019