Enabling Humanoid Robots With Human-Level Dexterous Manipulation

 
Multimodal Dexterous Manipulation Database
 

Bridging Human Demonstration And Robot Execution To Build A Trainable, Transferable, And Continuously Evolving Data Foundation For Embodied Intelligence

Dual-Source Data Architecture
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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

Multimodal Operational Representation
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    ▸ Multi-view vision
    ▸ Hand kinematics & robot joint state
    ▸ Tactile & force sensing
    ▸ Task semantics & temporal annotation
Standardized Episode Data Unit
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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
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▸ 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

Real-World Task Coverage
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▸ Object Pick & Place
▸ In-Hand Dexterous Manipulation
▸ Precision Assembly
▸ Tool Use
▸ Deformable Object Manipulation
▸ Bimanual / Dual-Arm Coordination
▸ Human-Robot Collaboration & Handover

Data Products & Services
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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