5 citations · 5 across the 6 of their papers we have counts for
6 papers
WireSeg-32K: A Physics-Grounded Synthetic Dataset for Wire Instance Segmentation
Zilin Dai, Lehong Wang, Yi Yang +1
Deformable linear objects such as wires and cables are difficult to segment because they are thin, highly deformable, and frequently self-occluded, while large-scale instance-level…
DeformX: A Versatile Co-Simulation Framework for Deformable Linear Objects
Yi Yang, Xiang Fei, Lehong Wang +5
Deformable linear objects (DLOs) such as wires, cables, and ropes are common in robotic manipulation tasks, yet simulating them with both visual realism and physical accuracy remai…
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
Zilin Dai, Lehong Wang, Fangzhou Lin +5
Real-world machine learning applications often struggle with two major challenges: distribution shift and label noise. Models tend to overfit by focusing on redundant and uninforma…
FDM Printing: a Fabrication Method for Fluidic Soft Circuits?
Savita V. Kendre, Lehong Wang, Ethan Wilke +3
Existing fluidic soft logic gates for the control of soft robots either rely on extensive manual fabrication processes or expensive printing techniques. In our work, we explore Fus…
STREAM: Software Tool for Routing Efficiently Advanced Macrofluidics
Lehong Wang, Savita V. Kendre, Haotian Liu +1
The current fabrication and assembly of fluidic circuits for soft robots relies heavily on manual processes; as the complexity of fluidic circuits increases, manual assembly become…
Vision-based FDM Printing for Fabricating Airtight Soft Actuators
Yijia Wu, Zilin Dai, Haotian Liu +2
Pneumatic soft robots are typically fabricated by molding, a manual fabrication process that requires skilled labor. Additive manufacturing has the potential to break this limitati…