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Haoran Ding

4 accepted papers

2025

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

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 4SourceScholar
2025

Towards Safe Imitation Learning via Potential Field-Guided Flow Matching

IROS 2025

Deep generative models, particularly diffusion and flow matching models, have recently shown remarkable potential in learning complex policies through imitation learning. However, the safety of generated motions remains overlooked, particularly in complex environments with inherent obstacles. In thi

Cited by 0SourceScholar
2022

InAction: Interpretable Action Decision Making for Autonomous Driving

ECCV 2022poster

"Autonomous driving has attracted interest for interpretable action decision models that mimic human cognition. Existing interpretable autonomous driving models explore static human explanations, which ignore the implicit visual semantics that are not explicitly annotated or even consistent across a…