Mr Qingmeng Wen
(he/him)
Postgraduate research student
Teams and roles for Qingmeng Wen
Research student
Graduate Demonstrator
Publication
2025
- Wen, Q., Ji, Z., Lai, Y., Svinin, M. and Tafrishi, S. A. 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., Tafrishi, S., Ji, Z. and Lai, Y. 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 Presented at 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., Tafrishi, S. A., Ji, Z. and Lai, Y. 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., Tafrishi, S. A., Ji, Z. and Lai, Y. 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., Veeramani, S., Hernández, J. D., Wen, Q. and Ji, Z. 2023. Affordance-based human-robot interaction with reinforcement learning. IEEE Access 11, pp. 31282-31292. (10.1109/ACCESS.2023.3262450)
Articles
- Wen, Q., Tafrishi, S. A., Ji, Z. and Lai, Y. 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)
- Munguia-Galeano, F., Veeramani, S., Hernández, J. D., Wen, Q. and Ji, Z. 2023. Affordance-based human-robot interaction with reinforcement learning. IEEE Access 11, pp. 31282-31292. (10.1109/ACCESS.2023.3262450)
Conferences
- Wen, Q., Ji, Z., Lai, Y., Svinin, M. and Tafrishi, S. A. 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., Tafrishi, S., Ji, Z. and Lai, Y. 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 Presented at 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., Tafrishi, S. A., Ji, Z. and Lai, Y. 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.