For the large variety of shopping malls, supermarkets, cafeterias and other places, customers need to spend a lot of time looking for goods. Due to this, a smart shopping guide is designed based on PLC. The robot mainly uses the CPU 224 controller to control the motor to drive at a speed of 1 m/s, and the DC brushless motor can load 75 kg of goods at a constant speed. If the distance between the pedestrian and the robot exceeds the allowable range, the CPU will execute the interrupt program and the robot will stop moving to avoid the pedestrian until the pedestrian completely walks out of the maximum allowable range. The sensor could not detect the pedestrian, and the CPU controlled robot continued to work. After testing, this robot can reduce the time spent by customers in finding goods, which greatly saves manpower and material resources.

Aiming at the trajectory planning problem of six-degree-of-freedom industrial robot in fixed space, this paper extends the trajectory optimization to the actuator control optimization of each joint of industrial robot. At the same time, the control algorithm of each joint steering gear of the robot under the specified path is given. Finally, the whole control strategy is simulated by the software of matlab, and the simulation results are good. The trajectory planning method of six-degree-of-freedom industrial robots proposed in this paper can be used for reference in general industrial process control.