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core technology
1.Intellectual Property & Patents
Leading Robotics Patent Portfolio
TitanStar holds 46 core robotics patents, covering:
- Robotic vision and visualization systems
- Vision-based execution and motion control
- High-degree-of-freedom dexterous manipulation
- Embodied intelligence and AI training methodologies
These patents form TitanStar’s long-t
1.Intellectual Property & Patents
Leading Robotics Patent Portfolio
TitanStar holds 46 core robotics patents, covering:
- Robotic vision and visualization systems
- Vision-based execution and motion control
- High-degree-of-freedom dexterous manipulation
- Embodied intelligence and AI training methodologies
These patents form TitanStar’s long-term technological moat and foundation for continuous innovation.
2. Visual Perception & Execution Engine
Robot Visual Intelligence and Vision-to-Action System
Through its proprietary robotic vision system, TitanStar enables robots to understand the world visually and execute actions precisely.
- 3D visual modeling and environmental reconstruction
2. Visual Perception & Execution Engine
Robot Visual Intelligence and Vision-to-Action System
Through its proprietary robotic vision system, TitanStar enables robots to understand the world visually and execute actions precisely.
- 3D visual modeling and environmental reconstruction
- Object recognition, pose estimation, and dynamic tracking
- Vision-driven precise action execution (Vision-to-Action)
Designed for real-world applications such as security patrols, industrial operations, and human-robot collaboration.
3. End-to-End Neural Network Training
End-to-End AI Training Framework
TitanStar has developed a fully end-to-end AI training system—from data acquisition to behavioral output—allowing robots to learn from experience rather than rely on fixed rules.
- Direct mapping from sensory data to action policies
- Hybrid training using reinforcement lea
3. End-to-End Neural Network Training
End-to-End AI Training Framework
TitanStar has developed a fully end-to-end AI training system—from data acquisition to behavioral output—allowing robots to learn from experience rather than rely on fixed rules.
- Direct mapping from sensory data to action policies
- Hybrid training using reinforcement learning and imitation learning
- Continuously evolving behavior optimization mechanism
4. Large-Scale AI Training Models
Deep AI Foundation Models for Robotics
We independently develop large-scale AI models tailored for robotic applications, focusing on complex decision-making, motion understanding, and human interaction.
- Multi-task learning for real-world scenarios
- Long-horizon decision-making and complex motion modeling
- Deep integration with language models and control systems
core technology
5. Super-Dexterous Hand System
Advanced Dexterous Manipulation Technology
TitanStar holds core patents in high-degree-of-freedom robotic hands and fine manipulation, enabling robots to achieve human-like operational capabilities.
- High-DOF dexterous hand structural design
- Tactile perception and force-feedback control
- Fine grasping, tool usage, and complex manipulation tasks
6. Natural Motion & Human-like Locomotion
Human-Inspired Motion and Locomotion System
By deeply modeling human kinematics and dynamics, TitanStar delivers robot motion that is more natural, safer, and more efficient.
- Human-like gait and full-body coordinated control
- High-stability dynamic balance systems
- Robust locomotion across complex terrain and environments
7. Full-Stack Self-Developed Robotics Architecture
End-to-End Proprietary Robotics Technology Stack
TitanStar follows a fully integrated, self-developed approach across both software and hardware, building a complete and controllable robotics technology stack.
- Proprietary control algorithms and system architecture
- Deep integration of AI so
7. Full-Stack Self-Developed Robotics Architecture
End-to-End Proprietary Robotics Technology Stack
TitanStar follows a fully integrated, self-developed approach across both software and hardware, building a complete and controllable robotics technology stack.
- Proprietary control algorithms and system architecture
- Deep integration of AI software platforms with robotic hardware
- Modular design optimized for long-term evolution and scalability
8. Embodied Intelligence System
Core Architecture of Embodied Intelligence
At the heart of TitanStar lies Embodied Intelligence—an integrated architecture that connects perception, understanding, decision-making, and execution into a complete closed loop. Our robots are not limited to computational intelligence; they are designed to act, l
8. Embodied Intelligence System
Core Architecture of Embodied Intelligence
At the heart of TitanStar lies Embodied Intelligence—an integrated architecture that connects perception, understanding, decision-making, and execution into a complete closed loop. Our robots are not limited to computational intelligence; they are designed to act, learn, and adapt in the real world.
- Multi-modal perception fusion (vision / tactile / spatial)
- Real-time coordination between decision-making and motion control
- Continuous self-adaptation in complex, real-world environments