RoCoChallenge2025: Collaborative Gearbox Assembly Demonstrations with RGBD Observations

RoCoChallenge2025 serves the RoCo challenge at AAAI26, focusing on collaborative gearbox assembly scenarios in human-centric manufacturing. It contains demonstrations for the gearbox assembly task, conducted with a Galaxea R1 robot in the IsaacSim environment. The dataset was created by the rocochallenge2025 author and was last updated on January 21, 2026.

Use Cases

• Training imitation learning models based on recorded robot demonstrations.
• Developing computer vision models for assembly state recognition based on multi-view RGBD observations.
• Benchmarking robotic manipulation policies for collaborative manufacturing tasks.
• Studying human-centric manufacturing workflows from demonstration data.

Strengths

• Data collection method is specified: demonstrations conducted with a Galaxea R1 robot in IsaacSim.
• Observation modality is specified: contains RGBD data from three distinct views (head, left hand, right hand).

Limitations

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

Provenance

Source

rocochallenge2025

Collection Method

Demonstrations collected with a Galaxea R1 robot in the IsaacSim simulation environment.

Freshness

Last updated 2026-01-21 20:29:15; freshness should be verified.