Abstract : Motion to a fixed point in a two-wheeled robot is a typical robot motion control problem. To achieve fast and smooth motion control, this paper takes the RoboCup medium-sized two-wheeled soccer robot as the object and applies the Genetic Algorithm (GA) to design fitness functions based on time optimization, path optimization, and a weighted optimal combination of the two to optimize the control parameters, thus realizing motion control to a fixed point based on the optimality of specific motion indicators. Motion performance indicators can be quantitatively analyzed and used as a basis for comparing the control effect of the controller. A human-simulated intelligent control (HSIC) is designed in this paper and compared with the common proportional control (P control). Experimental results show that the method is practical and effective, can achieve motion control with optimal specific performance, and provides a basis for the design of control algorithms. Keywords : Motion to a fixed point, genetic algorithm, time path optimization, human-simulated intelligent control 1. Introduction Motion control of two-wheeled robots has always been a hot research topic in robot control, and motion to a given target point, i.e., motion to a fixed point, is one of the main problems in motion control. Literature reviews have designed fuzzy controllers and fuzzy PID controllers, and proposed a single-neuron adaptive PID control algorithm. Meanwhile, two-wheeled robots face constraints such as speed and acceleration, and literature reviews have proposed algorithms for situations with limited control inputs, such as deriving a control law for trajectory tracking based on the control Lyapunov function. These control methods can effectively achieve fixed-point control, but their drawbacks include the lack of specific motion performance indicators, making it difficult to evaluate the motion effect; and the lack of research on the reasonable selection of controller parameters, leading to difficulties in practical application. These factors often limit their application in the actual fixed-point control of two-wheeled robots. (Full text available for download: Optimal Time Path Motion Control for Two-Wheeled Robots to Fixed Point)