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FH-JQ1006
Feihong
The Robot Stair Climbing Test Platform is a specialized testing and training system developed to evaluate the stair-climbing capability, gait coordination, balance control, load-carrying performance, and long-duration mobility of humanoid robots and legged robotic systems.
By reproducing real-world staircase environments in a controlled laboratory setting, the platform enables engineers to validate robot locomotion algorithms, optimize motion control systems, and assess mechanical durability under repetitive stair-climbing conditions.
The system is ideal for:
Humanoid robot manufacturers
Robotics research institutes
AI locomotion development teams
Service robot developers
Defense and industrial robotics laboratories
Universities and robotics innovation centers
The platform continuously simulates stair ascent and descent movements to evaluate robot stability during multi-step climbing operations.
Testing Purpose:
Verify center-of-gravity control
Assess dynamic balance performance
Detect foot placement errors
Validate stair-climbing algorithms
Benefits:
Reduce fall risk
Improve motion planning accuracy
Accelerate robot mobility development
The moving stair mechanism creates repetitive climbing scenarios that allow engineers to evaluate synchronization between legs, joints, sensors, and control systems.
Testing Purpose:
Analyze gait consistency
Validate walking rhythm
Improve joint coordination
Optimize locomotion control software
The platform supports long-duration climbing cycles to evaluate robot performance under sustained workloads.
Testing Purpose:
Assess motor endurance
Evaluate gearbox durability
Monitor thermal behavior
Validate battery consumption during stair operations
Applications:
Commercial service robots
Inspection robots
Industrial mobility platforms
Search-and-rescue robots
Additional payloads can be applied during testing to evaluate stair-climbing performance under realistic working conditions.
Testing Purpose:
Verify actuator torque reserve
Evaluate climbing efficiency with payloads
Measure balance performance under load
The system allows users to preset the total number of stair steps. The platform automatically stops once the programmed cycle is completed.
Testing Purpose:
Ensure test repeatability
Support benchmark comparisons
Generate consistent R&D data
The main structure is fabricated from industrial-grade 50×100 mm rectangular steel tubing, providing exceptional rigidity and long-term stability.
The stair steps are manufactured from high-strength aluminum alloy, offering:
Corrosion resistance
Wear resistance
Lightweight structure
Long service life
The display interface continuously shows:
Running time
Travel distance
Stair count
Operating status
Users can easily define:
Total stair cycles
Test duration
Running speed
The system automatically executes the test and stops upon completion.
Powered by a 1 kW servo motor with chain-and-sprocket transmission.
0–68 m/min continuously adjustable
This allows simulation of:
Slow climbing
Normal walking pace
High-frequency stair negotiation
for different robot development stages.
Item | Specification |
|---|---|
Overall Dimensions | 6.5 m × 1.71 m × 3.7 m |
Stair Material | Aluminum Alloy |
Speed Range | 0–68 m/min Adjustable |
Drive System | 1 kW Servo Motor |
Transmission | Chain & Sprocket |
Control Interface | Touchscreen |
Display Parameters | Time, Distance, Stair Count |
Power Supply | AC 220V |
Stair negotiation is one of the most challenging mobility tasks for humanoid robots because it requires simultaneous balance control, joint coordination, force distribution, and real-time perception. This platform helps engineers validate whether a robot can safely and consistently navigate multi-level environments.
The system records key operational parameters such as running time, climbing distance, stair cycles, speed, and test completion status. Additional external sensors can be integrated for force, torque, temperature, and motion analysis if required.
By running thousands of repeated stair-climbing cycles, the platform subjects motors, reducers, joints, and control systems to long-term operational stress. Engineers can identify wear trends, overheating issues, and reliability concerns before deployment.
Yes. The platform is designed to evaluate stair-climbing performance under loaded conditions, helping engineers determine how additional payload weight affects balance, climbing efficiency, motor torque demand, and energy consumption.
The system is suitable for:
Humanoid robots
Bipedal robots
Service robots
Inspection robots
AI mobility platforms
Research and educational robotic systems
The speed and test parameters can be adjusted to accommodate different robot sizes and performance levels.
Humanoid Robot Development
Robot Mobility Algorithm Validation
Stair Climbing Performance Evaluation
Dynamic Balance Research
Robot Durability Testing
AI Motion Control Optimization
Autonomous Navigation Validation
Industrial and Service Robot Certification Testing