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The advance in higher education in Asian countries is of major interest because it reveals increasing global political and cultural influence in recent years. The review explores the characteristics of publications from 2013–2018 concerned with the internationalisation of higher education in Asia. The study aims to analyse the current trajectory, including the size, growth trends, and regional networking of this domain, with a goal of identifying the influential journals, authors, and documents, as well exploring the thematic structure and topical issues and trends of this domain.

241 Scopus-indexed documents were selected and reviewed using a quantitative descriptive way. These documents were analysed by VOS viewer software.

The results show the most topical issues and trends concern about “Asian immigration and mobility”, “transnational education”, “international students and acculturation”, and “international branch campuses”. Seven main schools of thought were identified and are clearly explained herein, which provides a baseline for future research for new scholars.

The present study suggests that trans-regional cooperation is the future of internationalisation in higher education. Asian scholars are recommended to increase cooperation and exchanges with each other, expand channels of contact, further understand and optimise their own advantages, achieve win-win cooperation and make Asia's voice heard in the world in higher education field.

This bibliometric review can predict the main trends in higher education internationalisation in the future and encourage implication of interdisciplinary research in higher education internationalisation.

This paper aims to present a human-in-the-loop natural teaching paradigm based on scene-motion cross-modal perception, which facilitates the manipulation intelligence and robot teleoperation.

The proposed natural teaching paradigm is used to telemanipulate a life-size humanoid robot in response to a complicated working scenario. First, a vision sensor is used to project mission scenes onto virtual reality glasses for human-in-the-loop reactions. Second, motion capture system is established to retarget eye-body synergic movements to a skeletal model. Third, real-time data transfer is realized through publish-subscribe messaging mechanism in robot operating system. Next, joint angles are computed through a fast mapping algorithm and sent to a slave controller through a serial port. Finally, visualization terminals render it convenient to make comparisons between two motion systems.

Experimentation in various industrial mission scenes, such as approaching flanges, shows the numerous advantages brought by natural teaching, including being real-time, high accuracy, repeatability and dexterity.

The proposed paradigm realizes the natural cross-modal combination of perception information and enhances the working capacity and flexibility of industrial robots, paving a new way for effective robot teaching and autonomous learning.