We propose a novel for the ; to construct a chaotic robot to accomplish the task. The algorithm can meet the requirements of high randomness and coverage rate to perform specific types of missions. First, we roughly determine the value range of the parameter of the ; to meet the requirement of being a dissipative . Second, we calculate the s to narrow the value range further. Next, we draw the phase planes of the to approximately judge the topological distribution characteristics of its trajectories. Furthermore, we calculate the of the variable for those good ones to judge its random characteristics. Finally, we construct a chaotic robot using variables with the determined parameter values and simulate and test the coverage rate to study the relationship between the coverage rate and the random characteristics of the variables. The above selection strategy gradually narrows the value range of the parameter according to the randomness requirement of the coverage trajectory. Using the proposed strategy, proper variables can be chosen with a larger to construct a chaotic robot with a higher coverage rate. Another chaotic , the Lorenz , is used to verify the feasibility and effectiveness of the designed strategy. The proposed strategy for enhancing the coverage rate of the mobile robot can improve the efficiency of accomplishing CCPP tasks under specific types of missions.