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Multimedia Artificial Intelligence Technology Reaching Social Implementation
Approaching the practical application of AI technology through industry-university collaborative research!
With this research, we are developing artificial intelligence technology for multimedia data, mainly images, video, music, and audio. We are handling data related to medical images, social infrastructure data, materials science and other fields, mainly through industry-university collaborative research.
Research
We are not only conducting the world's most advanced artificial intelligence research, but also promoting research in interdisciplinary areas and taking on the challenge of solving real-world problems. Specifically, in medical imaging research, we have collaborated with many medical institutions in Japan to build AI technology that surpasses human diagnostic accuracy. In medical and civil engineering research, we have built Explainable AI (XAI), which not only enables learning of small amounts of data, a challenge in AI research, but also enables explanations of judgment results, making the technology usable in the real world. In recent years, we have also developed human-centric AI technology that can make decisions like humans by introducing information strongly related to human interests, such as human brain activity and eye gaze data, into the AI learning process.
Takahiro Ogawa Professor -
System Control Technology Based on Mathematical Methods
From mechanical to energy management systems
System control technology based on mathematical models can be applied to a wide range of fields, from mechanical systems such as four-wheeled robots to social systems such as energy management systems. At this laboratory, we are developing control methods for nonlinear and hybrid systems in particular.
Research
Many systems, such as manipulators and automobile engines, are nonlinear systems. Many conventional methods are created in view of individual cases. In this laboratory, we are developing a unified control method using control Lyapunov functions. As an example, we are considering the development of a four-wheeled robot running on a flat surface (Fig. 1). To achieve obstacle avoidance and movement to the target position, a pseudo height difference is set (Fig. 2). The obstacles are positioned high and the target is positioned low. This allows four-wheeled robots to achieve their control objectives with only one simple rule of following the low position.
Dynamical systems that include switching of dynamics are called hybrid systems, and are known to have many applications. Recently, we have been working on the application of hybrid systems to energy management systems. In particular, we are developing an electricity consumption model for consumers.Yuh Yamashita Specially Appointed Professor
