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In 2020, the epidemic spread rapidly and frightening. During the period of epidemic prevention and control, college students did not go out and lived in isolation at home, so some students had mental health problems, such as the lack of normal face-to-face social interaction, the unmet need to talk; family contradictions occurred from time to time, resulting in large fluctuations in college students’ mental health. This paper analyzes the causes of college students’ psychological problems under the background of the epidemic situation, and carries out the experimental data collection and statistical analysis in the form of scale test and telephone interview. The results show that college students are prone to psychological problems in the context of the epidemic, and senior students and female students are more likely to have psychological problems. This paper provides a theoretical basis for solving the mental health problems of college students, and has important reference significance.

This paper describes a behavioral control system of a mobile robot using Hybrid Input/Output Automata (HIOA), considering the entire system. This Robot HIOA model allowed us to decompose the system and include external behaviors which capture relationships between system components. Different languages were used for each component depending on the intrinsic nature of its trajectory and discrete transition. Using receptive strategies, the robot was verified to show that the system is without local Zeno execution. The mobile robot was designed to smoothly navigate safely through an unfamiliar environment with high obstacle density and work on objects of interest in view.

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