Remote Control and Automation System for Loaders

A remote control and automation system for loaders based on multi-sensor fusion perception, high-precision autonomous positioning, and augmented reality (AR)-assisted decision-making is designed for discrete material handling scenarios such as port cabin clearance, stack reorganization, and loading, achieving “human-machine separation, remote control, and assisted automation,” thereby significantly enhancing operational safety and precision.

Core System Architecture
Environmental Perception and Localization System
LiDAR: Real-time 3D imaging and scanning of cargo contours and stockpile shapes
Vision system: multiple high-definition cameras for container recognition, grab positioning, and carriage positioning.
Blind-Spot Monitoring: 360° Panoramic Surveillance for Real-Time Detection of Personnel and Obstacles
Remote Control and Assistance Systems
AR-Assisted Operation Interface: Augmented Reality Depth-of-Field Guidance to Address the Challenge of 2D Screen Spatial Perception
Multi-mode control terminal: supports remote manual, semi-automatic, and fully automatic operation modes.

Intelligent Operation Control System
Automatic control of the working arm: achieving high-repeatability, high-precision motion automation
Autonomous Path Planning: Supports path memory and optimization for typical operational scenarios such as cabin clearance, pallet return, and loading.
Safety and Early Warning System
Personnel Collision Warning: Real-Time Monitoring of Personnel Activity Within the Operation Radius
Equipment condition monitoring: real-time upload of key parameters such as vibration, temperature, and oil pressure.

Key Features
Support for multi-scenario operations
The entire Procedure, including cabin clearance,垛ing, and loading, is performed remotely or automatically.
AR-Assisted Remote Operation
Augmented reality overlays depth of field and task guidance to reduce operational complexity.

Autonomous Recognition and Localization
Automatically identifies container trucks, vehicle compartments, and cargo to achieve high-precision alignment.

Automation Control of the Working Arm
Supports standardized actions such as one-click垛ing and automatic loading.
All-View Security Monitoring
Zero-blind-spot video coverage combined with real-time personnel detection ensures human–robot safety.
Seamless dual-mode switching
Remote manual and automatic operations can be switched in real time to adapt to complex operating conditions.

Performance Metrics
Positioning accuracy
Grab alignment within ±5 cm
Response latency
End-to-end latency ≤ 200 ms (in a 5G private network environment)
Recognition accuracy
Truck/carriage identification accuracy ≥ 99%, system availability ≥ 99.5%

Adapt to the environment
-25°C to +55°C, IP65 protection
Adapted to high-dust, high-humidity operating conditions
Continuous operation time ≥ 8 hours (Supports battery/hybrid solutions)