The design, development and deployment of Mobile Agent (MA) systems for high-level inference and surveillance in wireless sensor networks and RFID systems have drawn increasing attention in the past decade. To answer how the state-of-the-art of MA in a wide range of ubiquitous and sensor environments is, this paper investigates the current progress of MA. It proposes a taxonomy, by which MA systems in ubiquitous computing environments are decomposed and discussed. Then, this paper provides insights into the strengths and weaknesses of existing efforts. Finally, it presents a series of solutions from the viewpoint of various roles of MA in ubiquitous environments and situations.

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In view of the serious infection of doctors and nurses in epidemic area, a mobile nursing robot was designed. The robot takes stm32f107 as the core, ultrasonic and infrared sensors as the sensing module, collects the obstacle signals through ultrasonic and infrared sensors, and avoids after stm32f107 processing, so as to realize the free movement of the robot. According to the genetic algorithm, the mobile nursing robot can get the best path, according to the obstacle data in the best path, using the attitude calculation method to achieve the turn. It has been proved that the combination of genetic algorithm and attitude estimation can improve the working efficiency and accuracy of mobile nursing robot.