Tianming Wei
Papers
1
Total Citations
2
H-Index
1
About
Tianming Wei is a rising researcher in robot manipulation and 3D assembly, with a focus on enabling generalizable, multi-task learning for home robotics. Their key research areas include multi-task pairwise object assembly, robotic manipulation, and geometric reasoning for complex assembly tasks. Wei’s major contribution is the development of the "Two by Two" framework, which tackles the challenge of learning multi-task pairwise objects assembly—a critical step toward practical applications like furniture assembly and component fitting. This work, published in 2025, has already garnered 2 citations, signaling early impact in a rapidly evolving field. By addressing the limitations of existing benchmarks that focus on geometric fragments or factory parts, Wei’s research bridges the gap toward real-world, generalizable robot manipulation. Their achievements highlight a commitment to advancing future home robots, making assembly tasks more accessible and efficient. For students and researchers, Wei’s work offers a compelling entry point into the intersection of robotics, learning algorithms, and everyday applications.
Research Focus
Key Achievements
Top Papers
- 1