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The current fault detection robot is subject to the problem of low precision in the detection of the fault of the ultrasonic wave, and the design of the robot fault detection robot based on the genetic algorithm is proposed.Ad500-1a sensor is used to collect the internal and external data information of mechanical equipment, the equivalent conversion circuit is used to make the robot sense the change information of surrounding environment in real time, and the high sensitivity electronic instrument is used to realize the sensing work of the robot; two 2-way high-definition digital network cameras are used to monitor the whole mechanical equipment to obtain the communication, management and motion information of the robot structure; progee0813 As the positioning chip of navigation equipment, the model chip obtains the signal command according to the actual demand, and selects the driving path of the robot; carries out the fault location and tracking through the virtual reality hardware interactive equipment of unity and UE4 engine; uses the joint device to connect the wheel forearm and upper arm to realize the different magnet adsorption and separation, and completes the hardware structure design of the robot according to the robot structure. Using genetic algorithm to determine the navigation fitness function, through the robot video collection information, design the early warning function, and use the robot to generate the equipment fault image in real time, according to the implementation process, under the support of the ultrasonic obstacle avoidance function, complete the mechanical equipment fault detection. The experimental results show that the detection accuracy of the robot can reach 0.96, which improves the detection robustness of the robot.