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ORCIDFeng Xie 0006
Person information
- affiliation: Beijing Academy of Agriculture and Forestry Sciences, Intelligent Equipment Research Center, Beijing, China
- affiliation: Jiangsu University, School of Agricultural Engineering, Zhenjiang, China
Other persons with the same name
- Feng Xie — disambiguation page
- Feng Xie 0001 — RMIT University, School of Computer Science and IT, Melbourne, Australia
- Feng Xie 0002
![[0000-0001-7229-3955]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7229-3955")
— Peking University, School of Mathematical Sciences, Beijing, China (and 1 more) - Feng Xie 0003 — National University of Defense Technology, Department of Computer Science, Changsha, China (and 1 more)
- Feng Xie 0004 — Stanford University, School of Medicine, Department of Biomedical Data Science, Stanford, CA, USA (and 1 more)
- Feng Xie 0005 — China Information Technology Security Evaluation Center, Beijing, China
- Feng Xie 0007 — McMaster University, Department of Computing and Software, Hamilton, Canada
- Feng Xie 0008 — Facebook Reality Labs, USA (and 1 more)
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2020 – today
- 2023
[j2]Tao Li, Feng Xie, Zhuoqun Zhao, Hui Zhao, Xin Guo, Qingchun Feng:
A multi-arm robot system for efficient apple harvesting: Perception, task plan and control. Comput. Electron. Agric. 211: 107979 (2023)- [c3]Feng Xie, Tao Li, Qingchun Feng:
Improved Performance for Multi-Arm Harvest Robot System with Edge Computing and Distributed Communication. ACIRS 2023: 29-32 - [c2]Feng Xie, Na Sun, Jiaheng Li, Qingchun Feng, Tao Li:
Fruit Distribution Acquisition With Multi-Vision for Multi-Arm Harvesting Robots. CRC 2023: 7-13 - [c1]Tao Li, Feng Xie, Quan Qiu, Qingchun Feng:
Multi-Arm Robot Task Planning for Fruit Harvesting Using Multi-Agent Reinforcement Learning. IROS 2023: 4176-4183 - [i1]Tao Li, Feng Xie, Ya Xiong, Qingchun Feng:
Multi-Arm Robot Task Planning for Fruit Harvesting Using Multi-Agent Reinforcement Learning. CoRR abs/2303.00460 (2023) - 2022
- [j1]Tao Li, Qingchun Feng, Quan Qiu, Feng Xie, Chunjiang Zhao:
Occluded Apple Fruit Detection and Localization with a Frustum-Based Point-Cloud-Processing Approach for Robotic Harvesting. Remote. Sens. 14(3): 482 (2022)
Coauthor Index
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