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FH-JQ1009
Feihong
The High-Incline Robot Testing Platform is specifically developed for evaluating the climbing capability, balance control, traction performance, and terrain adaptability of humanoid robots and advanced robotic mobility systems.
Unlike conventional robot treadmills that focus on walking and running performance, this platform is engineered to simulate steep slopes ranging from 20° to 30°, enabling developers to challenge robotic locomotion systems under extreme terrain conditions.
The system provides a safe, repeatable, and highly controlled environment for validating robotic performance before deployment in real-world industrial, logistics, rescue, defense, and outdoor applications.
Incline range:
20°–30°
Adjustment accuracy:
±0.1°
This exceeds the capability of most conventional robotic testing platforms.
Testing Objective
Evaluate:
Climbing capability
Dynamic balance
Foot-ground traction
Actuator load capacity
Slip resistance
Terrain adaptation algorithms
The platform combines:
Servo-driven positioning
Touchscreen control
Mechanical angle indication
Real-time slope monitoring ensures accurate and repeatable testing conditions.
Testing Objective
Provide consistent terrain conditions for performance comparison and algorithm validation.
The entire running surface is covered with:
Industrial-grade rubber
Anti-slip texture
High-friction material
Testing Objective
Minimize platform-induced slippage and allow engineers to evaluate the robot’s true traction performance.
Control options include:
Touchscreen interface
Dual wireless remote controllers
Testing Objective
Enable safe operation while engineers observe robot behavior from different locations around the test area.
Platform size:
5 m × 1.8 m
Suitable for:
Humanoid robots
Biped robots
Exoskeleton systems
Research prototypes
The compact footprint allows installation in most robotics laboratories and development centers.
Features include:
Servo motor drive
AC220V industrial power supply
Corrosion-resistant frame construction
Wear-resistant surface treatment
Designed for continuous research and development environments.
Climbing ability verification
Balance optimization
Locomotion algorithm development
Ramp traversal testing
Warehouse incline simulation
Mountain trail simulation
Rough terrain mobility validation
Disaster response mobility testing
Stair and slope negotiation research
Assisted climbing evaluation
Human-machine interaction studies
Item | Specification |
|---|---|
Platform Size | 5 m × 1.8 m × 2.6 m |
Incline Range | 20°–30° |
Incline Accuracy | ±0.1° |
Maximum Load Capacity | ≥100 kg |
Drive System | Servo Motor |
Power Consumption | <5 kW |
Power Supply | AC220V |
Control Method | Touchscreen + Dual Remote Controls |
Angle Display | Mechanical Scale + Digital Display |
Surface Material | Anti-Slip High-Friction Rubber |
Frame Finish | Black Sand Texture Coating |
Most real-world environments are not flat. Industrial facilities, ramps, outdoor terrain, and disaster zones often involve steep gradients. Testing at up to 30° helps verify whether the robot can maintain stability, traction, and mobility under extreme conditions.
As the slope increases, the robot's center of gravity shifts and motor torque demand rises significantly. The test evaluates how effectively the robot maintains balance, generates traction, compensates for posture changes, and prevents slipping or tipping.
A deviation of even 1° can noticeably affect motor load, power consumption, and balance performance. The ±0.1° accuracy ensures repeatable test conditions, making results reliable for R&D comparisons and performance benchmarking.
The purpose is to isolate robot performance from surface limitations. A high-friction surface allows engineers to evaluate the robot's actual climbing and traction capability without interference from platform-induced slipping.
This platform is particularly valuable for:
Humanoid robots
Biped robots
Search-and-rescue robots
Defense robots
Exoskeleton systems
Outdoor autonomous mobile robots
where slope-climbing capability and balance control are critical performance indicators.