Dr Qingmeng Wen
(he/him)
Postgraduate research student
Teams and roles for Qingmeng Wen
Research student
Publication
2025
- Wen, Q. 2025. Geometric studies in point cloud skeletonisation and their applications in robotics. PhD Thesis , Cardiff University.
- Wen, Q. et al. 2025. Skeleton-guided rolling-contact kinematics for arbitrary point clouds via locally controllable parameterized curve fitting. Presented at: IEEE/RSJ International Conference on Intelligent Robots and Systems Hangzhou, China 19–25 October 2025.
2024
- Wen, Q. et al. 2024. What criteria define an ideal skeletonisation reference in object point clouds?. Presented at: TAROS 2024: 25th Annual Conference London, UK 21-23 August 2024. Published in: Huda, M. N. , Wang, M. and Kalganova, T. eds. Towards Autonomous Robotic Systems. 25th Annual Conference, TAROS 2024, London, UK, August 21–23, 2024, Proceedings, Part I. Lecture Notes in Computer Science Springer. , pp.422-433. (10.1007/978-3-031-72059-8_35)
- Wen, Q. et al. 2024. Defining the ideal criteria for stable skeletonisation in object point clouds. Presented at: 40th Anniversary of the IEEE Conference on Robotics and Automation (ICRA@40) Rotterdam, Netherlands 23-26 September 2024.
- Wen, Q. et al. 2024. GLSkeleton: A geometric Laplacian-based skeletonisation framework for object point clouds. IEEE Robotics and Automation Letters 9 (5), pp.4615-4622. (10.1109/LRA.2024.3384128)
2023
- Munguia-Galeano, F. et al., 2023. Affordance-based human-robot interaction with reinforcement learning. IEEE Access 11 , pp.31282-31292. (10.1109/ACCESS.2023.3262450)
Articles
- Munguia-Galeano, F. et al., 2023. Affordance-based human-robot interaction with reinforcement learning. IEEE Access 11 , pp.31282-31292. (10.1109/ACCESS.2023.3262450)
- Wen, Q. et al. 2024. GLSkeleton: A geometric Laplacian-based skeletonisation framework for object point clouds. IEEE Robotics and Automation Letters 9 (5), pp.4615-4622. (10.1109/LRA.2024.3384128)
Conferences
- Wen, Q. et al. 2025. Skeleton-guided rolling-contact kinematics for arbitrary point clouds via locally controllable parameterized curve fitting. Presented at: IEEE/RSJ International Conference on Intelligent Robots and Systems Hangzhou, China 19–25 October 2025.
- Wen, Q. et al. 2024. What criteria define an ideal skeletonisation reference in object point clouds?. Presented at: TAROS 2024: 25th Annual Conference London, UK 21-23 August 2024. Published in: Huda, M. N. , Wang, M. and Kalganova, T. eds. Towards Autonomous Robotic Systems. 25th Annual Conference, TAROS 2024, London, UK, August 21–23, 2024, Proceedings, Part I. Lecture Notes in Computer Science Springer. , pp.422-433. (10.1007/978-3-031-72059-8_35)
- Wen, Q. et al. 2024. Defining the ideal criteria for stable skeletonisation in object point clouds. Presented at: 40th Anniversary of the IEEE Conference on Robotics and Automation (ICRA@40) Rotterdam, Netherlands 23-26 September 2024.
Thesis
- Wen, Q. 2025. Geometric studies in point cloud skeletonisation and their applications in robotics. PhD Thesis , Cardiff University.