This paper describes the design and implementation of a steerable robot control device making use of machine imaginative and prescient. The machine consists of a robot car ready with a 3-d digital camera, a show and a manipulate panel. The camera captures 3-d intensity pix of the surroundings and the manage panel lets in the consumer to output instructions that manipulate the motion of the auto. The vision module of the system uses a Convolutional Neural community (CNN) to discover objects inside the environment and small variations in elevation and assign distinct that means to them. This facts is then utilized by the control module to formulate the commands in step with the person’s commands, which then get sent to the car’s pressure device. The system additionally uses an optimization set of rules to help become aware of most beneficial paths thru the environment and avoid limitations. Eventually, the gadget can be used to monitor the automobiles positioning within the surroundings permitting the user to benefit information which include the place, orientation and pace of the automobile.