Reproduce “GelFusion: Enhancing Robotic Manipulation under Visual Constraints via Visuotactile Fusion” on OpenResearch
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About this paper
Shulong Jiang, Shiqi Zhao, Yuxuan Fan, Peng Yin
A framework called GelFusion enhances robotic manipulation through visuotactile fusion, combining high-resolution GelSight sensor data with visual input via a cross-attention mechanism to achieve reliable performance in contact-rich tasks where visual information is limited or occluded.
Key insights
- High-resolution tactile sensing can complement visual perception for improved manipulation
- Dynamic tactile features capture important temporal interaction information
- Cross-attention fusion outperforms simple concatenation or self-attention approaches
Summary by alphaXiv.
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