My research interests span Robotics, 3D Vision and Machine Learning.
My research objective is to endow embodied agents working in complex real-world scenes with generalizable manipulation, navigation and control capabilities.
ScissorBot: Learning Generalizable Scissor Skill for Paper Cutting
via Simulation, Imitation, and Sim2Real Jiangran Lyu,
Yuxing Chen,
Tao Du,
Feng Zhu,
Huiquan Liu,
Yizhou Wang,
He Wang† CoRL 2024 Data Generation for Robotics@RSS 2024 arXiv /
project page /
code
We propose the first learning-based robotic paper cutting system.
Experimental results demonstrate that our method achives performance comparable to human operation
with a single hand under the same conditions.
We propose a novel Rotation Laplace distribution for probabilistic rotation estimation.
Rotation Laplace distribution is robust to the disturbance of outliers and enforces much gradient to the low-error region,
resulting in new state-of-the-art performance over both probabilistic and non-probabilistic baselines.
We propose a novel Visual Co-occurrence Discovery Network (VCDN) to discover semantic co-occurring relationships within objects and facilitate the inference of their compositional structures.