Scholar
Yongkang Luo
Google Scholar ID: aTqO7lUAAAAJ
Institute of Automation, Chinese Academy of Sciences
Citations & Impact
Citations
570
H-index
11
i10-index
13
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Research Experience
- Innovation Task 2035 of the Institute of Automation, Chinese Academy of Sciences, Neuromorphic Robots, 2021.1-2023.12, completed, main contributor
- National Key R&D Program of China, Research and Validation of Learning Methods for Autonomous Intelligent Agents' Dexterous and Precise Manipulation, 2019.1-2023.12, completed, participant
- Sub-project of the Ministry of Industry and Information Technology's Intelligent Ship Special Project, Semantic Segmentation and Weak Target Detection in Complex Marine Scenarios, 2019.03-2021.09, completed, principal investigator
- Key Project of the National Natural Science Foundation of China, Research on 3D Vision Guidance and Control for Industrial Robots, 2017.01-2020.12, completed, principal investigator
- Cultivation Project of the Major Research Plan of the National Natural Science Foundation of China, Robot Perception and Operation Based on Attention-Memory-Learning, 2018.01-2020.12, completed, main contributor
- Sub-project of the High-end Intelligent Service Robot Product Industrialization Project, UBTECH Robotics, 2017.11-2020.10, completed, main contributor
Education
- Information not provided
Background
- Doctor of Engineering, currently working as an Associate Researcher at the National Key Laboratory of Multi-Modal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences. Mainly engaged in research on dexterous manipulation and visual perception learning of robots, as well as intelligent systems. Exploring cutting-edge technologies for dexterous manipulation robots, developing dexterous manipulation embodied intelligence algorithms, enhancing the dexterous and fine manipulation capabilities of robots, and researching efficient learning strategies under small sample conditions.
Co-authors