A Safety Checklist for Wheeled-Leg Robot Field Testing

A wheeled-leg robot field test should follow a structured safety checklist covering mechanical inspection, power validation, sensor calibration, software verification, communication testing, and operator procedures. Field data from robotic platforms shows that more than 30% of early-stage failures are related to hardware or integration issues, making pre-test inspection necessary before autonomous operation. A complete checklist reduces unexpected shutdowns and improves reliability across industrial, research, and outdoor applications.

Wheeled-leg robots combine wheel efficiency with legged mobility, allowing operation on uneven terrain, but every additional actuator, sensor, and control layer adds testing requirements.

Before deployment, engineers should inspect the mechanical structure, including wheel assemblies, leg joints, gear systems, fasteners, and protective covers. Joint torque calibration should be completed because a 5–10% deviation in actuator output can affect balance control during climbing, turning, or sudden stops. For robots using direct-drive systems, checking motor temperature, torque response, and encoder accuracy is necessary because direct-drive actuators transfer motor output directly without traditional transmission components.

A typical pre-field checklist includes:

Inspection Area	Test Item	Recommended Check
Frame	Screws, joints, covers	Visual inspection and torque verification
Wheels	Alignment, traction, wear	Manual rotation and surface check
Legs	Joint movement and stiffness	Position accuracy test
Motors	Temperature and torque	Load test under different speeds
Battery	Voltage and thermal status	Full charge and discharge monitoring
Sensors	IMU, LiDAR, cameras	Calibration before operation

Mechanical checks are followed by power system validation because energy management directly affects operating time and safety. Many mobile robots experience reduced performance when battery voltage drops below the controller threshold. During field testing, engineers should record voltage, current, and temperature at intervals of 1–5 minutes. For platforms operating for more than 2 hours, thermal monitoring is recommended because motor temperature increases can reduce efficiency and shorten component lifetime.

Power reliability also affects software behavior. When voltage instability occurs, controllers may receive incorrect feedback or activate protective shutdown modes. A robot development kit with open SDK can help engineers access low-level control parameters, sensor data, and diagnostic information during testing, allowing developers to adjust motion control settings based on real operating conditions. The Diablo direct-drive self-balancing wheeled-leg robot platform is one example of a wheeled-leg robot designed around direct-drive technology and open development capabilities.

A field test should verify not only normal movement, but also how the robot responds when sensors, communication, or power conditions become abnormal.

Sensor calibration is required before outdoor operation because wheeled-leg robots depend on accurate environmental information. IMU errors, camera distortion, and LiDAR measurement noise can influence navigation and balance algorithms. Tests should include flat ground, slopes, gravel surfaces, and low-light environments. Research evaluations conducted between 2020 and 2024 reported that perception accuracy could decrease by more than 20% under challenging lighting conditions without proper calibration and filtering methods.

A practical sensor checklist includes:

• IMU calibration before every field session

• Camera exposure adjustment under outdoor lighting

• LiDAR range verification using fixed-distance targets

• Wheel encoder accuracy testing

• GPS or positioning system validation when outdoor navigation is required

Sensor reliability directly affects control software, so software testing should be completed before full outdoor trials. Motion planning, balance control, obstacle avoidance, and recovery functions should first be evaluated in controlled environments. Simulation testing and hardware-in-the-loop validation can identify unstable control responses before the robot operates around people or expensive equipment.

Software validation should include:

Software Function	Validation Method
Balance controller	Test recovery after external disturbance
Navigation system	Evaluate route accuracy and obstacle handling
Communication module	Simulate connection loss
Emergency stop	Measure shutdown response time
Autonomous mode	Verify manual override capability

Emergency stop performance should be measured because wheeled-leg robots can move quickly compared with traditional research platforms. Many systems target shutdown response times below 200 milliseconds after receiving an emergency command. Testing should include physical stop buttons, wireless shutdown commands, and automatic responses caused by hardware faults.

During field testing, operators should always have a clear method to stop the robot within seconds.

Communication testing is another required step because outdoor environments can introduce signal interference. Wireless connection range, latency, and recovery behavior should be recorded before autonomous operation. A communication interruption test should confirm that the robot stops safely or returns to a predefined state rather than continuing uncontrolled movement.

Environmental testing should match the conditions expected during real use. A robot designed for inspection, agriculture, logistics, or research may encounter dust, rain, uneven ground, slopes, and temperature changes. Testing programs should record surface type, weather conditions, operating speed, payload weight, and battery consumption. A comparison of 50 field runs across different terrains can provide useful information about traction performance and energy use.

Terrain evaluation can include:

Environment	Measurement
Concrete surface	Maximum speed and braking distance
Gravel terrain	Wheel slip percentage
Sloped ground	Balance recovery ability
Grass or soil	Traction performance
Stairs or obstacles	Leg movement accuracy

Human safety procedures should be prepared before testing in shared environments. Operators should define a testing area, maintain safe distances, and assign responsibilities between the controller operator and the observer. For robots weighing more than 20 kg and moving above walking speed, keeping several meters of separation from people during early tests is commonly recommended.

Payload testing should also be included because many wheeled-leg robots are designed to carry cameras, sensors, or industrial tools. Additional weight changes the center of mass and affects motor demand. Tests should compare unloaded and loaded conditions, recording speed reduction, battery consumption, and joint temperature. A payload increase of 25% may cause noticeable changes in acceleration and climbing performance depending on the robot design.

After every field test, engineers should review recorded data rather than relying only on visual observations. Logs should include motor currents, joint positions, IMU readings, GPS data, error messages, and video records. A single test session involving multiple cameras and high-frequency sensors may generate several gigabytes of data, especially when operating for more than 1 hour.

A complete field test record should show what the robot did, where it operated, and how each system responded.

A final checklist review should confirm that all safety requirements have been completed before repeated deployment. Mechanical condition, battery status, software version, sensor calibration, communication quality, and emergency functions should be documented for every test date. With consistent procedures, wheeled-leg robots can be evaluated more reliably across research sites, industrial facilities, and outdoor environments while maintaining safe operation standards.