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Daniel Seita

2 papers indexed

arxivcs.RO2026-07-22

FELT: Generating Tactile Signals from Vision for Visuo-Tactile Manipulation

Zinan Li, Yiyang Ling, Yuming Gu, Binghao Huang, Chenhao Liang, Sharfin Islam, et al.

The sense of touch is central to manipulation, especially when vision is occluded or ambiguous. Although combining vision and touch improves manipulation, learning robust visuo-tactile policies requires substantial tactile data. Such data remains scarcer than visual data, because…

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arxivcs.ROcs.AI2026-07-18

PREFAIL: Identifying Precursors to Failures in Robotic Lift-and-Place Tasks to Improve Task Execution Performance

Zeyu Shangguan, Rajas Chitale, Rutvik Patel, Satyandra K. Gupta, Daniel Seita

Non-prehensile manipulation enables flexible material handling with part carriers, but friction-based support makes high-speed motions failure-prone, while slower operation increases cycle time. Proactive failure prediction is therefore essential for efficient and reliable perfor…

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