FluxBisimData: Simulated Dual-Arm Manipulation Tasks for Robot Learning

FluxBisimData is a simulated manipulation dataset collected by FluxBisim for model evaluation. It was created by the author limxdynamics and was last updated on May 29, 2026. The dataset focuses on complex dual-arm collaboration tasks.

Use Cases

• Evaluating robot learning models based on simulated dual-arm collaboration tasks.
• Training models for primitive skill combination based on tasks like pick-and-place and handover.
• Benchmarking robotic manipulation algorithms based on a simulation environment.

Strengths

• Focuses on task composition, combining primitive skills to create complex tasks.
• Simulated data likely provides a controlled environment for repeatable experiments.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

limxdynamics via Hugging Face

Collection Method

Simulated data collection using atomic controllers and a simulation engine.

Freshness

Last updated 2026-05-29 07:50:53; freshness should be verified.