Tech with a Human Touch: Asia University and Ever-Joint Co-Develop Intuitive AI Medical Assistants

Robots with a Heart: Asia University and Ever-Joint Partner to Create Intuitive Medical Assistants

TAICHUNG, TAIWAN — Future robots will no longer be cold, mechanical devices; they will be empathetic companions capable of understanding elders' commands, predicting fall risks, and supporting patients through rehabilitation. To realize this vision, Asia University (AU) and Ever-Joint Technology officially signed a Memorandum of Understanding (MOU) for industry-academic cooperation today (6th) at Ever-Joint’s headquarters.

The two parties will collaborate on the project: "Development of Interactive Robotic Systems for Healthcare Services Using Multimodal Models." The signing ceremony was led by AU President Jeffrey J.P. Tsai, joined by Dean of Industry-Academia Collaboration Chao-Neng Wang, AI Department Chair Kuo-Cheng Liu, Professor Yue-Ting Tsai, and Department of Bioinformatics and Medical Engineering Chair Jow-May Hu.

Sensory Intelligence: AI with a Human Touch

Dr. Jeffrey J.P. Tsai, President of Asia University, pointed out that the core of this technology lies in equipping robots with human-like senses. By integrating various sensory data, these robots can understand semantic commands in hospital or home environments, becoming reliable "smart assistants." President Tsai emphasized that for AU students, this partnership represents more than just advanced AI curriculum—it allows them to enter the frontline of AI healthcare during their studies, transforming "dry code" into a force that protects lives.

Four Pillars of Clinical Innovation

Dr. Chao-Neng Wang, Dean of Industry-Academia Collaboration, explained that the project’s research focus holds high clinical value, aiming to solve real-world challenges in healthcare:1.Precision Fall Warning: Utilizing collaborative AI for long-term observation to track subtle behavioral changes in high-risk groups, overcoming the limitations and false alarms of traditional single-mode sensors.2.Semantic Communication & Dynamic Navigation: Empowering robots to understand human verbal instructions and plan safe paths within ever-changing, dynamic environments.3.Personalized Rehabilitation: Developing exoskeleton robots that combine long-sequence motion analysis to provide customized treatment adjustments for every patient.4.Trustworthy AI Framework: Building a resilient architecture against malicious prompt attacks on Large Language Models (LLMs) to ensure medical privacy and operational safety.

Dr. Kuo-Cheng Liu, Chair of the Department of Artificial Intelligence at Asia University, stated that Ever-Joint Technology has long specialized in medical AI robotics, smart healthcare, and hospital automation solutions. He noted that the convergence of AI and robotics is an inevitable future trend. "The greatest advantage of AU’s AI program is that 'enrollment means immediate practice,'" Dr. Liu remarked. Through this deep collaboration with Ever-Joint, students move beyond classroom theory to participate directly in laboratory R&D. Under the surge of smart healthcare, this "learning by doing" model significantly narrows the gap between academia and industry, granting graduates a powerful competitive edge with high employment rates and premium salary potential.

Dr. Yu-Jeng Li, Chairman of Ever-Joint Technology, emphasized his high expectations for deeper collaboration with Asia University. In response to the industry's urgent demand for high-level AI talent, he warmly invited students from AU’s "Bachelor Program in Semiconductors" and the "Department of Artificial Intelligence" to join Ever-Joint in the future. He encouraged them to transform their solid academic foundations into clinical expertise, contributing together to the advancement of Taiwan’s smart healthcare industry.

                             The Asia University and Ever-Joint Technology teams celebrate the beginning of their strategic partnership in smart healthcare.