Yupo Zhang — accepted AI-conference papers

2025

Evetac Meets Sparse Probabilistic Spiking Neural Network: Enhancing Snap-Fit Recognition Efficiency and Performance

Senlin Fang, Haoran Ding, Yangjun Liu, Jiashu Liu, Yupo Zhang, Yilin Li +2

RA-L 2025

Snap-fit peg-in-hole assembly is common in industrial robotics, particularly for 3 C electronics, where fast and accurate tactile recognition is crucial for protecting fragile components. Event-based optical sensors, such as Evetac, are well-suited for this task due to their high sparsity and sensit

Cited by 4 Source ↗Scholar ↗

2024

Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning

Senlin Fang, Yiwen Liu, Chengliang Liu, Jingnan Wang, Yuanzhe Su, Yupo Zhang +3

ICRA 2024poster

The sense of touch is essential for robots to perform various daily tasks. Artificial Neural Networks have shown significant promise in advancing robotic tactile learning. However, due to the changing of tactile data distribution as robots encounter new tasks, ANN-based robotic tactile learning suff…

Cited by 2 Source ↗Scholar ↗