Scholar
Chenrui Tie
Google Scholar ID: lN8cZMMAAAAJ
National University of Singapore
Citations & Impact
Citations
66
H-index
5
i10-index
2
Publications
7
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- [{'PaperTitle': 'Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models', 'Authors': 'Chenrui Tie* et al.', 'Conference/Journal': 'RSS 2025', 'Summary': 'Proposed a novel framework that enables VLM to understand human-designed manuals and acquire robotic skills for furniture assembly tasks.'}, {'PaperTitle': 'ET-SEED: Efficient Trajectory-level SE(3) Equivariant Diffusion Policy', 'Authors': 'Chenrui Tie* et al.', 'Conference/Journal': 'ICLR 2025, CoRL 2024 Workshop X-Embodiment Robot Learning', 'Summary': 'Proposed a new diffusion policy method to tackle tasks with certain symmetry, achieving better data efficiency and spatial generalization.'}, {'PaperTitle': 'EqvAfford: SE(3) Equivariance for Point-Level Affordance Learning', 'Authors': 'Yue Chen*, Chenrui Tie* et al.', 'Conference/Journal': 'CVPR 2024 Workshop EquiVision', 'Summary': 'Proposed EqvAfford framework, with novel designs to guarantee the SE(3) equivariance in point-level affordance learning for downstream robotic manipulation.'}, {'PaperTitle': 'ManiFoundation Model for General-Purpose Robotic Manipulation of Contact Synthesis with Arbitrary Objects and Robots', 'Authors': 'Zhixuan Xu* et al., Chenrui Tie', 'Conference/Journal': 'IROS 2024 (Oral)', 'Summary': 'Introduced a framework taking contact synthesis as a unified task representation that can generalize over objects, robots, and manipulation tasks.'}, {'PaperTitle': 'Jade: A Differentiable Physics Engine for Articulated Rigid Bodies with Intersection-Free Frictional Contact', 'Authors': 'Gang Yang, Siyuan Luo, Yunhai Feng, Zhixin Sun, Chenrui Tie, Lin Shao', 'Conference/Journal': 'ICRA 2024', 'Summary': 'Developed Jade, a differentiable physics engine for articulated rigid bodies, using continuous collision detection to prevent intersection between bodies with complex geometry shapes.'}, {'PaperTitle': 'Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly', 'Authors': 'Ruihai Wu*, Chenrui Tie* et al.', 'Conference/Journal': 'ICCV 2023', 'Summary': 'Tackled multi-part geometrically assembly task, leveraging SE(3) equivariance and invariance, which fits the natural characteristic of the task and narrows the solution space.'}]
Research Experience
- No explicit work experience mentioned, but involved in multiple research projects.
Background
- A first-year Ph.D. student in the School of Computing at the National University of Singapore, focusing on constructing models by incorporating varying degrees of physics intuitions based on the specific characteristics of different robot manipulation tasks to improve efficiency. Prior to this, he majored in physics during his undergraduate studies.
Miscellany
- Served as a reviewer for several international conferences including ICRA and RA-L.
