What is a Large Movement Model?
The Large Movement Model (LMM) is a foundational AI system trained on real-world human motion data. Like a language model learns words, LMM learns movement—predicting future posture, modeling intent, and enabling context-aware motion in real time.
Applications
- Collaborative Robotics & Autonomous Systems
- Motion-Aware Surveillance & Security
- Physical Rehabilitation & Fall Prediction
- VR/AR Simulation & Avatar Realism
- Sports Analytics & Biomechanics
How It Works
LMMs process skeletal pose sequences from video (sports, surveillance, etc.), convert them into 3D motion representations, and train a generalist model using transformer or diffusion-based architectures. The model learns physical constraints, biomechanical structure, and intent-aware behaviors across environments.
Why It Matters
We believe motion is a core modality for embodied intelligence—on par with text, speech, and vision. A general-purpose LMM can power more adaptable, human-aware systems across sectors where movement matters most.
Contact Us
Developed by Aegis Station Infrastructure LLC. Reach out for partnerships, pilots, or licensing opportunities:
engage@aegisstation.com