Tong Yang is a visiting PhD student from the Robotics Laboratory at Zhejiang University in Hangzhou, China. Before coming to Imperial College, he received a B.Eng. degree in control science and engineering from Zhejiang University.
His research interests include planning problems for various types of robots, including mobile robots, tethered robots, and manipulators. He also focuses on their mathematical underpinnings, such as algebraic topology, graph theory, and differential geometry.
During his visit to Imperial College, he is working on the automatic garment steaming task using dual manipulators. Additionally, he is acquiring fundamental knowledge about machine learning.
Selected Publications
Journals
→ Yang T, Miro J V, Nguyen M, et al. Template-Free Nonrevisiting Uniform Coverage Path Planning on Curved Surfaces[J]. IEEE/ASME Transactions on Mechatronics, 2023.
→ Yang T, Miro J V, Wang Y, et al. Optimal task-space tracking with minimum manipulator reconfiguration[J]. IEEE Robotics and Automation Letters, 2022, 7(2): 5079-5086.
Conferences
→ Yang T, Liu J, Wang Y, et al. Self-Entanglement-Free Tethered Path Planning for Non-Particle Differential-Driven Robot[C]//2023 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2023: 7816-7822.
→ Yang T, Miro J V, Wang Y, et al. Optimal Object Placement for Minimum Discontinuity Non-revisiting Coverage Task[C]//2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021: 8422-8428.
