Research collaboration

Shared experiments with explicit boundaries.

PlainHand is interested in datasets, robotics platforms, model evaluation, sensing, experimental design, and theory that can sharpen or disprove the research program.

Useful collaboration paths

Where a shared experiment can contribute.

Datasets

Compatible multimodal interaction data with clear permissions, timing, actions, and outcomes.

Robotics platforms

Embodiments or test environments for portability, sensing, and execution questions.

Model evaluation

Strong baselines, sealed confirmation, robustness, uncertainty, and replication.

Sensing

Synchronized force, tactile, pose, motion, and future instrumentation studies.

Theory

Precise definitions for learning value, hierarchy, transfer, packets, and structural updates.

Research systems

Reproducible pipelines, manifests, provenance, and audit-ready evidence packages.

Propose a collaboration

Describe the shared test.

Include the resource, project, or question and what evidence a useful collaboration could produce.

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