Omnisharing Db Sampledata: A Sample of Multimodal Tactile and Visual Data for Embodied AI

A sample from the PX OmniSharing Dataset, built on the PaXini Super EID Factory, enabling large-scale, high-fidelity human data collection across diverse tasks and scenarios. The dataset includes multi-dimensional tactile data and multi-view visual data. The sample was uploaded by the author 'paxini' and last updated on 2026-04 23.

Use Cases

• Training robotic manipulation models based on integrated force and tactile sensing data.
• Developing multimodal AI agents based on high-fidelity human demonstration data across diverse tasks.
• Benchmarking perception algorithms based on multi-view visual data paired with tactile feedback.
• Simulating real-world physical interactions for embodied AI based on the described omnimodal data.

Strengths

• Data is described as high-fidelity and collected at a large scale.
• The dataset is built on a specialized factory (PaXini Super EID Factory) for human data collection.
• It integrates multiple data modalities, specifically force, tactile, and visual sensing.

Limitations

• This is a sample dataset; the full dataset's size and scope are not specified.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.

Provenance

Source

PaXini

Collection Method

Built on the PaXini Super EID Factory for large-scale, high-fidelity human data collection.

Time Range

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Freshness

Last updated 2026-04-23 09:03:48; freshness should be verified.

Geography

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