| Availability: | |
|---|---|
| Quantity: | |
FH-JQ1005
Feihong
The Multi-Robot Dynamic Testing Platform is an advanced validation system developed specifically for humanoid robots, service robots, logistics robots, exoskeleton systems, and multi-agent robotic collaboration research.
Unlike conventional robot treadmills that evaluate only a single robot, this platform enables simultaneous testing of up to six robotic units, making it ideal for swarm robotics, collaborative manipulation, fleet management validation, and large-scale AI behavior testing.
With a high-capacity load rating of 600 kg, wide-area running surface, bidirectional incline simulation, and intelligent belt correction technology, the platform provides a reliable environment for validating complex robotic systems under repeatable laboratory conditions.
The extra-large testing surface provides ample room for multiple robots operating simultaneously.
Running Area
5.0 m × 3.66 m
Testing Objective
Evaluate:
Multi-robot coordination
Fleet movement behavior
Collision avoidance
Path planning
Cooperative transportation
Supports simultaneous operation of:
1–6 humanoid robots
Autonomous mobile robots (AMRs)
Service robots
Logistics robots
Testing Objective
Verify:
Distributed control algorithms
Multi-agent coordination
Communication stability
Task synchronization performance
Maximum payload:
600 kg
Suitable for:
Large humanoid robots
Heavy-duty industrial robots
Exoskeleton systems
Multi-robot group testing
Testing Objective
Assess structural reliability and locomotion performance under realistic operating loads.
Incline range:
-15° to +15°
Simulates:
Uphill climbing
Downhill descent
Uneven terrain adaptation
Dynamic balance recovery
Testing Objective
Measure robot stability, drive efficiency, and balance control under varying terrain conditions.
Speed range:
0–40 km/h
Speed accuracy:
±0.1 km/h
Supports:
Walking
Running
Sprinting
Emergency stop scenarios
Autonomous navigation testing
Testing Objective
Validate robot performance across the full mobility spectrum.
The platform integrates:
Automatic belt alignment
Automatic monitoring
Forward and reverse operation
Testing Objective
Ensure long-duration testing stability while reducing maintenance requirements and preventing tracking errors.
Safety features include:
Three longitudinal safety rails
One transverse safety rail
Multiple support handrails
Four emergency stop switches
Testing Objective
Protect valuable robotic prototypes and operators during collaborative testing activities.
Walking and running validation
Dynamic balance testing
Locomotion algorithm optimization
Multi-agent coordination
Formation control
Distributed AI validation
Warehouse robot fleet testing
Traffic management simulation
Autonomous transport validation
Collaborative robot operation
Human-robot interaction research
Automated manufacturing systems
Multi-unit deployment testing
Autonomous mission coordination
Complex terrain navigation
Item | Specification |
|---|---|
Running Area | 5.0 m × 3.66 m |
Maximum Load Capacity | 600 kg |
Incline Range | -15° to +15° |
Speed Range | 0–40 km/h |
Speed Accuracy | 0.1 km/h |
Drive System | Dual Gear Motors + Dual Servo Lift Motors |
Belt Control | Auto Monitoring & Auto Tracking |
Emergency Stops | 4 Sets |
Power Supply | AC380V Three-Phase |
Total Power | 15 kW |
Future robotic deployments will rarely involve a single robot. Warehouses, factories, hospitals, and public service environments increasingly rely on fleets of robots working together. Multi-robot testing verifies coordination efficiency, communication reliability, and collision avoidance strategies before real-world deployment.
The platform allows multiple robots to operate simultaneously under controlled speed and incline conditions. Engineers analyze synchronization accuracy, task completion efficiency, path planning performance, and response to unexpected robot behavior within the group.
Humanoid robots are becoming larger and heavier, while collaborative testing may involve several robots operating at the same time. High load capacity ensures stable operation without affecting test accuracy or platform durability.
Incline testing introduces changing gravitational loads and balance challenges. By evaluating robots on both uphill and downhill conditions, developers can optimize gait generation, motor control, braking algorithms, and energy efficiency.
Long-duration tests involving multiple robots generate uneven loading across the treadmill surface. Automatic tracking and correction maintain belt alignment, ensuring accurate results, reducing downtime, and protecting expensive robotic prototypes.