Physical AI for Autonomous Operations
Understand the real world, make decisions, and control machines. DAI Labs’ Physical AI platform accelerates automation and digital transformation across infrastructure, construction, mobility, and manufacturing. AI controls factory equipment, agricultural and construction machinery, and robots, automating everything from on-site decision-making to real-world operations.
Why DAI Labs’ Physical AI Platform
DAI Labs’ core value lies in seamlessly connecting AI with real-world environments, enabling AI to understand complex shapes and events in the physical world with high accuracy and efficiency.
VALUE01
Understand the real world in 3D with diverse sensors
Integrate data from cameras, LiDAR, and other sensors to accurately recognize complex real-world environments in 3D.
VALUE02
Process in real time, even with limited computing resources
Lightweight AI technology enables real-time processing on edge devices and other field equipment, even without a GPU.
VALUE03
Connect analysis to machine control
Integrate with existing systems and robotic platforms to turn AI-based perception and decision-making into actual machine actions.
Field Automation Powered by Physical AI
Enable autonomous machines and robots across a wide range of real-world environments, including manufacturing, agriculture, construction, and disaster response.
Autonomous Construction with Heavy Machinery
Autonomous Exploration and Site Awareness with Legged Robots
Autonomous Material Transport with Mobile Robots
Automated Control of Factory Equipment and Production Lines
Autonomous Navigation and Harvesting with Agricultural Machinery
Five Core Technologies for Real-World Challenges
Specialized technologies that dramatically improve productivity across field operations, from infrastructure inspection to autonomous driving development.
【Measure】Transform Real-World Environments into High-Precision 3D Data
Accurately measure terrain, structures, materials, and other objects in 3D using sensor data from LiDAR, cameras, and other sources. Streamline field operations such as construction, inspection, and asset management.
【Detect】Automatically Recognize Objects and Anomalies with AI
Use AI to automatically recognize objects, equipment, obstacles, anomalies, and other features from images and 3D data. Streamline inspection and monitoring and enable faster responses when action is required.
【Reconstruct】Recreate Real-World Environments in 3D in Real Time
Reconstruct real-world environments as 3D spaces using point clouds, 3D Gaussian Splatting (3DGS), and other technologies. Enable remote monitoring, simulation, and autonomous robot navigation.
【Monitor】Monitor Real-World Environments in Real Time with Edge AI
Run AI directly on field devices to detect human intrusion, equipment abnormalities, environmental changes, and other events in real time. Support timely responses such as issuing alerts or automatically stopping machinery when anomalies are detected.
【Control】Autonomously Control Machines and Robots with AI
AI understands and evaluates the surrounding environment to autonomously control machines and robots. Enable applications such as automated harvesting with agricultural machinery, excavation and grading with construction machinery, and autonomous navigation and operation by robots.