Abstract: Intelligent robots obtain environment information such as terrain and temperature with sensors,and then analyze and process such information to take appropriate countermeasures.However,if a robot cannot locate itself in the environment,its user can only perform simple control,and its obstacle avoidance algorithm may fail due to under-sampling of obstacle information.To address these problems,this paper proposed a system that can perform remote control and independent way-finding on smart-car robots.The system can automatically locate a smart-car robot through efficient image processing and recognition.It improves over existing algorithms and builds a collision avoidance strategy to ensure that the robot can always find a safe path to its destination.Our experimental results show that the system has high locating accuracy,and its remote control and way-finding functions are reliable and useful.

Key words: Remote control,Independent way-finding,Android platform