Cooperative control system of multiple robots using visual location
Zheng Wu Jiang, Shiming Chen · 2017
In the study of multi-robots cooperative control, the design of the multi-robots cooperative platform is an important topic. To solve this problem, This paper builds a Multi-smart car collaborative control experiment platform based on visual location. The platform obtains real-time moving images of all smart cars according to the global infrared camera, and Combined with the infrared light on the car, through the image recognition to achieve the positioning of the robots, and then through the Zigbee wireless network will control the signal or car status information sent to all smart cars. Finally, the linear optimal quadratic algorithm is applied to the formation of the car group, complete the multi-car formation start and stop, uniform speed and acceleration and deceleration task. The experimental results show that the multi-smart car cooperative control platform can meet the requirements of multi-smart car cooperative control and formation control, and can provide a practical platform for multiple robots collaborative control algorithm research.