Robotic Material Handling

Covering intralogistics full-stack scenarios and breaking through core applications from loading and unloading trucks to high-level putaway and picking




Full process storage scenario

Automate all materials handling process in multiple scenarios, saving labor cost significantly

Intelligent visual perception technology

Intelligent visual perception technology. Using the perception scheme of 3D laser vision, the perception distance, accuracy and space are greatly improved, and the environment
semantic map (object-based SLAM) is generated. The learning of fork targets, obstacles, and the observation of the pick-and-place space can judge the status of the object in real time, which provides data reference for adaptive operation and autonomous obstacle avoidance.

Highly accurate and robust navigation technology

Adopting 3D vision + 3D laser hybrid sensors based on natural features of the environment, rich in information and high accuracy as the core sensors for navigation, it achieves highly robust and high-precision positioning in a variety of scenarios, indoor and outdoor, all- weather and highly dynamic, without the need to modify the site environment and existing business processes.

Large-scale multi-level scheduling technology

Large-scale multi-level scheduling technology. Taking into account the communication delay and motion uncertainty of unmanned forklifts, the scheduling algorithm and multi-vehicle interaction strategy are optimized to realize long time, incremental and cluster scheduling of unmanned forklifts and related logistics robots, and the system has a single cluster

scheduling capacity of several hundred

Labor Cost Reduction

  • Saves 50%-80% of labor costs
  • Reduces intangible personnel management cost
  • Reduces man-made security risks
  • Operates with lights off, thus reducing energy bills
  • ROI in less than 3 years

Operational Safety

  • Capable of continuous operation without compromising efficiency
  • High operational accuracy with SLAM navigation + visual recognition
  • 360-degree obstacle avoidance
  • No single point of failure; capable of continuous operation without accident

Flexible Deployment

  • Robots come in multiple models, suitable for a variety of logistics scenarios
  • Supports multiple system deployment modes
  • Supports interaction among multiple devices