Abstract: Cyber-syndrome refers to a range of physical and psychological issues, such as eyestrain and anxiety, caused by excessive use of the Internet or electronic devices. With the growing prevalence of mobile devices and prolonged screen exposure, Cyber-syndrome has become a significant health concern. Various treatment approaches have been explored, including Chinese medicine and Western medicine. Chinese medicine emphasizes holistic conditioning by regulating the body’s internal environment to achieve therapeutic effects, with heat therapy being a commonly used treatment method. Although heat therapy plays a crucial role in treating Cyber-syndrome, its effectiveness depends on precise temperature control and accurate targeting of the affected areas. Traditional heat therapy relies on manual positioning and temperature adjustment, which is highly dependent on the physician’s experience, which limits its widespread adoption. Thermotherapy robots address these limitations by utilizing deep learning technology to accurately identify treatment areas and dynamically adjust temperature through an automated control system. These robots offer advantages such as stable operation, high precision, and improved efficiency, enhancing the safety of thermotherapy while reducing risks associated with human error. This study analyzes the current state of thermotherapy robot applications in Cyber-syndrome treatment, both at home and abroad. It summarizes the structure and working principles of six types of thermotherapy robots (including four domestic robots and two foreign robots), and makes a comparative analysis from the aspects of hyperthermia types, positioning methods, advantages, and targeting Cyber-syndrome. Compared with domestic research, foreign research in this area is scarcer, but the field as a whole shows a good development trend and broad application prospects. The results indicate that most existing thermotherapy robots have achieved full automation, with advantages such as high efficiency, personalization, and safety. Traditional technologies are now integrated with artificial intelligence techniques, such as big data analysis and visualization algorithms, enabling more precise and personalized treatment services that effectively alleviate the symptoms of Cyber-syndrome. Furthermore, this study explores key technologies in four areas: thermotherapy techniques (basic technical principles, providing theoretical support for the operation of thermal therapy robots), target area navigation and positioning (key to achieving precise treatment), robotic structural design (core structure of thermal therapy robots), and safety protection mechanisms (key parts of thermal therapy robot systems), while also analyzing existing limitations. Currently, thermotherapy robot research remains in its early stages, and its application in Cyber-syndrome treatment has not yet been thoroughly explored. Challenges such as robotic arm flexibility, treatment accuracy for Cyber-syndrome, and doctor-patient interaction dynamics require further investigation. Finally, this study systematically examines the future development trends of thermotherapy robots in Cyber-syndrome treatment, aiming to provide insights for manufacturers and researchers in this field. As a key direction in digital healthcare, thermotherapy robots should be further studied from multiple perspectives, including the integration of multimodal human vital sign monitoring, 5G technology, and human-computer interaction techniques, as well as the refinement of evaluation systems. These advancements will enhance the flexibility, precision, and intelligence of thermotherapy robots, while the integration of emerging technologies such as 5G will promote the construction of future smart healthcare.