MaNI-102 is a real-world simulation dataset for robotic manipulation created by bh2821. It focuses on complex human-object interaction and fine-grained motion modeling, covering various manipulation types common in robotic operation scenarios. The dataset models real-world contact, friction, constraints, and dynamics through high-fidelity physical simulation.
Use Cases
- Training robotic grasping models based on simulated grasping interactions.
- Developing algorithms for pushing and pulling objects based on simulated dynamics.
- Benchmarking robotic assembly tasks based on simulated assembly scenarios.
- Evaluating tool-use capabilities in robots based on simulated tool interactions.
- Modeling fine-grained motion and contact dynamics for robotic control.
Strengths
- Systematically covers multiple manipulation types including grasping, pushing, pulling, rotating, assembly, and tool use.
- Models real-world contact, friction, constraints, and dynamics through high-fidelity physical simulation.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count, file formats, and license are unknown, which may limit suitability assessment.
Provenance
- Source
- bh2821
- Collection Method
- High-fidelity physical simulation.
- Freshness
- Last updated 2026-05-05 21:41:28; freshness should be verified.