We are conducting research to instill XR (VR / AR / MR), UX / UI, and sustainable (SDGs) that lead to next-generation technologies into the real world. These combine a wide range of design engineering, ergonomics, electrical and electronic engineering, and mechanical engineering to create something useful to humans. Throughout your research life, you will acquire the technology to integrate image processing, mechatronics, 3D-CAD, sensing, and machine learning. Let's challenge boldly without fear of failure.
Basic Information
Faculty name/Affiliation
Iku Mihashi / Department of Mechanical and Precision Systems Faculty of Science and Engineering
Specialized Fields
User experience, design engineering, augmented reality, ergonomics, educational technology
Research theme
Visualization and effects of guess and knacks by motion training game
Analysis of behavioral curved surface for skill inheritance
Construction of Office tools using AR technology and evaluation of improvement of illustration ability
Evaluation of numerical visualization of tidying indicators
Evaluation of robot education by modular robots for education
Research keywords
User Experience (UX), Man Machine User Interface (UI), Virtual Reality (VR), Augmented Reality (AR), 3D-CAD, Ergonomics, Motion Capture, Sensing Engineering, Robotics, Machine Learning
Building and evaluating motion training games that visualize skills
Skill movements in vocational training often require equipment, time, and manpower because they are often trained by memorizing the movements of skilled workers by imitating them. As one of the methods to solve this, there is a simulation using a flight simulator with high reproducibility, but the training effect is unknown because it is necessary to prepare dedicated equipment and because the reality is too important. is. Therefore, in this research, we will focus on entertainment by adding points to the competition, and build a motion training game with multiple viewpoint functions that is impossible in reality. Currently, we are proposing games for centering lathes, paralleling milling machines, and arc welding work, and evaluating the effectiveness of motion training games by comparing actual vocational training movements.
Visualization of skill of expert movement using behavior curved surface
When communicating the movements of an expert to a beginner, it is difficult to convey them with words and gestures alone, and it is difficult to quantitatively evaluate excellent skills. In this research, the behavioral trajectory of multiple joints is curved (behavioral curved surface) to clarify the difference in behavior between experts and beginners. The behavior curved surface is evaluated by the curved surface shape, curvature, area, etc., and the curvature is expressed by color gradation so that it can be visually understood. Furthermore, in order to visualize the rhythm and timing of movement, we create a behavior curve with speed, acceleration, and propulsion force information added in color gradation as well as the trajectory, and evaluate the behavior of the expert.
Evaluation of robot education method using modular robot for education
Robot creation education requires three skills of mechanism, electronic circuit, and program, but even in university education, it is difficult to achieve all three at the same time, especially motor control by programming is extremely difficult, easy and diverse. If motor control is possible, robot education will become more widespread. Therefore, in this research, we propose a motor control method that anyone can operate, a simple housing and mechanism, and a modular robot education system to co-create and extract experience value of each learner. I am.
