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Lu Chen 0003
Person information
- affiliation: Shanxi University, Institute of Big Data Science and Industry, China
- affiliation (PhD 2019): Northwestern Polytechnical University, National Key Laboratory of Aerospace Flight Dynamics, Xi'an, China
Other persons with the same name
- Lu Chen — disambiguation page
- Lu Chen 0001 — Zhejiang University, Hangzhou, China (and 2 more)
- Lu Chen 0002 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
- Lu Chen 0004 — Henan University, School of Computer and Information Engineering, China
- Lu Chen 0005 — National University of Defense Technology, Electronic Countermeasures College, Hefei, China
- Lu Chen 0006 — Osaka University, Department of Information Science and Technology, Japan
- Lu Chen 0007 — University of Massachusetts, Philosophy Department, Amherst, USA
- Lu Chen 0008 — Swinburne University of Technology, Melbourne, Australia
- Lu Chen 0009 — Xi'an University of Architecture and Technology, Xi'an, China
- Lu Chen 0010 — Ohio State University, Columbus, OH, USA
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2020 – today
- 2024
- [j10]Hong Nie, Zhou Zhao, Lu Chen, Zhenyu Lu, Zhuomao Li, Jing Yang:
Smaller and Faster Robotic Grasp Detection Model via Knowledge Distillation and Unequal Feature Encoding. IEEE Robotics Autom. Lett. 9(8): 7206-7213 (2024) - [j9]Zhou Zhao, Dongyuan Zheng, Lu Chen:
Detecting Transitions from Stability to Instability in Robotic Grasping Based on Tactile Perception. Sensors 24(15): 5080 (2024) - [j8]Lu Chen, Mingdi Niu, Jing Yang, Yuhua Qian, Zhuomao Li, Keqi Wang, Tao Yan, Panfeng Huang:
Robotic Grasp Detection Using Structure Prior Attention and Multiscale Features. IEEE Trans. Syst. Man Cybern. Syst. 54(11): 7039-7053 (2024) - 2023
- [j7]Zhenyu Lu, Lu Chen, Hengtai Dai, Haoran Li, Zhou Zhao, Bofang Zheng, Nathan F. Lepora, Chenguang Yang:
Visual-Tactile Robot Grasping Based on Human Skill Learning From Demonstrations Using a Wearable Parallel Hand Exoskeleton. IEEE Robotics Autom. Lett. 8(9): 5384-5391 (2023) - [j6]Mingdi Niu, Zhenyu Lu, Lu Chen, Jing Yang, Chenguang Yang:
VERGNet: Visual Enhancement Guided Robotic Grasp Detection Under Low-Light Condition. IEEE Robotics Autom. Lett. 8(12): 8541-8548 (2023) - [c6]Jing Yang, Changjing Shang, Lu Chen, Pan Su, Qiang Shen:
Sparse Training Data-Based Hyperspectral Image Super Resolution Via ANFIS Interpolation. FUZZ 2023: 1-6 - 2022
- [j5]Yuanhao Li, Panfeng Huang, Zhiqiang Ma, Lu Chen:
A Context-Free Method for Robust Grasp Detection: Learning to Overcome Contextual Bias. IEEE Trans. Ind. Electron. 69(12): 13121-13130 (2022) - [c5]Lu Chen, Mingdi Niu, Shengxi Wang, Peng Wu, Yuanhao Li:
A Robust Object Tracking and Visual Servo Method for Mobile Robot. RCAR 2022: 151-156 - 2020
- [j4]Chao Wen, Lu Chen, Pengting Duan, Xuefeng Cui:
MIMO Radar Imaging With Multiple Probing Pulses for 2D Off-Grid Targets via Variational Sparse Bayesian Learning. IEEE Access 8: 147591-147603 (2020)
2010 – 2019
- 2019
- [j3]Lu Chen, Panfeng Huang, Zhongjie Meng:
Convolutional multi-grasp detection using grasp path for RGBD images. Robotics Auton. Syst. 113: 94-103 (2019) - [j2]Lu Chen, Panfeng Huang, Jia Cai:
Extracting and Matching Lines of Low-Textured Region in Close-Range Navigation for Tethered Space Robot. IEEE Trans. Ind. Electron. 66(9): 7131-7140 (2019) - 2018
- [j1]Lu Chen, Panfeng Huang, Zhou Zhao:
Refining object proposals using structured edge and superpixel contrast in robotic grasping. Robotics Auton. Syst. 100: 194-205 (2018) - 2017
- [c4]Lu Chen, Panfeng Huang, Zhou Zhao:
Saliency based proposal refinement in robotic vision. RCAR 2017: 85-90 - [c3]Zhou Zhao, Panfeng Huang, Lu Chen:
Visual tracking and grasping of moving objects and its application to an industrial robot. RCAR 2017: 555-560 - 2015
- [c2]Jia Cai, Panfeng Huang, Lu Chen, Bin Zhang:
A fast detection method of arbitrary triangles for Tethered Space Robot. ROBIO 2015: 120-125 - [c1]Lu Chen, Panfeng Huang, Jia Cai:
Object detection for noncooperative targets using HOG-based proposals. ROBIO 2015: 1608-1613
Coauthor Index
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last updated on 2024-12-03 20:29 CET by the dblp team
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