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Mr Zekun Ning
Teams and roles for Zekun Ning
Graduate Demonstrator
Research student
Overview
I am currently a PhD research student at the School of Engineering, Cardiff University. Prior to this, I received my Master's degree in Advanced Robotics with distinction from Queen Mary University of London. My current research interests are focused on the SLAM (Simultaneous Localization and Mapping) and autonomous navigation of multi-robot systems.
Publication
2025
- Ning, Z., Pullin, R. and Ji, Z. 2025. GBP-LOAM: Lidar odometry and mapping using Gaussian Belief Propagation. Presented at: The 30th International Conference on Automation and Computing (ICAC 2025), Loughborough, UK, 27-29 August 2025Proceedings of the 30th International Conference on Automation and Computing. IEEE, (10.1109/ICAC65379.2025.11196354)
- Ning, Z., Pullin, R. and Ji, Z. 2025. GBP-LOAM: Lidar Odometry and Mapping using Gaussian Belief Propagation. Presented at: 30th International Conference on Automation and Computing (ICAC), Loughborough, United Kingdom, 27-29 August 20252025 30th International Conference on Automation and Computing (ICAC). IEEE, (10.1109/icac65379.2025.11196354)
Conferences
- Ning, Z., Pullin, R. and Ji, Z. 2025. GBP-LOAM: Lidar odometry and mapping using Gaussian Belief Propagation. Presented at: The 30th International Conference on Automation and Computing (ICAC 2025), Loughborough, UK, 27-29 August 2025Proceedings of the 30th International Conference on Automation and Computing. IEEE, (10.1109/ICAC65379.2025.11196354)
- Ning, Z., Pullin, R. and Ji, Z. 2025. GBP-LOAM: Lidar Odometry and Mapping using Gaussian Belief Propagation. Presented at: 30th International Conference on Automation and Computing (ICAC), Loughborough, United Kingdom, 27-29 August 20252025 30th International Conference on Automation and Computing (ICAC). IEEE, (10.1109/icac65379.2025.11196354)
Research
- Multi-Robot Systems: Exploring the communication and collaboration of multiple robots in complex environments.
- SLAM for Unstructured Environments: Developing SLAM algorithms suitable for unstructured and cluttered environments.
Contact Details
[email protected]
Queen's Buildings - South Building, Room S/2.35, 5 The Parade, Newport Road, Cardiff, CF24 3AA
Queen's Buildings - South Building, Room S/2.35, 5 The Parade, Newport Road, Cardiff, CF24 3AA