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Dual-Source Data Architecture
MOST+
Human Demo Data
Embodiment-agnostic; accumulates fine manipulation priors at scale
Robot Execution Data
Teleoperated platforms; captures full perception → decision → execution pipeline
Dual-Source Synergy
Supports pre-training, fine-tuning, evaluation, and cross-embodiment transfer
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Multimodal Operational Representation
MOST+
Multi-view vision
Hand kinematics & robot joint state
Tactile & force sensing
Task semantics & temporal annotation
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Standardized Episode Data Unit
MOST+
Type A
Human Demonstration Episode — cross-platform transferable manipulation priors
Type B
Robot Embodiment Episode — execution data aligned to specific action spaces
Model & Learning Paradigm Support
MOST+
Robot Foundation Models
Vision-Language-Action Models (VLA)
Imitation Learning / Behavior Cloning
Robot Policy & Skill Models
Reinforcement Learning / Offline RL
World Models & Action Prediction
Multimodal Perception & Fusion
Cross-Embodiment & Action Mapping
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Real-World Task Coverage
MOST+
Object Pick & Place
In-Hand Dexterous Manipulation
Precision Assembly
Tool Use
Deformable Object Manipulation
Bimanual / Dual-Arm Coordination
Human-Robot Collaboration & Handover
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Data Products & Services
MOST+
Standardized Datasets
Cleaned, annotated, and structured for model training and evaluation
Custom Collection
Targeted data collection for specified tasks, scenes, and robot platforms
Training Data Engineering
Action conversion, Episode curation, and training format adaptation
Data Governance
Quality assessment, version control, and private data management