I study the tilting mutation, that is, an operation to get a new tilting module from given one. By using the tilting mutation, we can get many tilting modules. In association with tilting mutation, we can define partially ordered sets which are called (support tau-)tilting posets. My interest is in combinatorial properties of these posets.

Water hydraulic systems which use tap-water as working fluid are called aqua drive systems and they can realize novel green drive sources with 100% oil-free characteristics. In our laboratory, we study to realize a clean and safe system for rehabilitation, power assist, and life support. In addition, we have developed pure aqua drive systems, which can be driven without any power source, by controlling fluidic flow and have applied such systems to emergency drive sources and disaster prevention systems. We have also developed support systems to play musical instruments by only one hand.

A multiagent system is a research field that tackles problems that are difficult to solve by one agent by running a large number of agents. My research focus is teamwork behavior in the simulated soccer domain. We are studying behavior learning algorithms for soccer tasks using the RoboCup Soccer Simulator. Achieving better methods of environmental recognition and decision making through multiagent adversarial games such as soccer is expected to be applied to real human society. As applications in the real world, we are also conducting research such as collecting and analyzing information that humans pay attention to when deciding actions and building environmental maps using multiple mobile robots.

The aim of this study is to investigate the use of the Bayesian inference and to restore noise-degraded images under conditions of spatially correlated noise. The generative statistical models used for the original image and the noise were assumed to obey multi-dimensional Gaussian distributions whose covariance matrices are translational invariant. This study derives an exact description to be used as the expectation for the restored image by the Fourier transformation and restored an image distorted by spatially correlated noise by using a spatially uncorrelated noise model.

We develop multi-precision computational routines with automatic result verification.
These routines, tracing error bounds of each steps in computation, finally give an interval in which the exact result exists.
Also, we study on tonal music generating system using MIDI interface as an application of symbolic computation.

This is a museum display made by our seminar. The main technology used for the system is marker-based AR (augmented reality).

System summary:
The size and direction of CG (computer graphics) objects changes depending on the camera-marker distance and marker direction.

In this study, various mechatronics devices and control systems with pneumatic and electric actuators such as non-wearing type power assist devices, electric motorcycles, and mobile robots were developed based on MPU (embedded controller) and RTAI. The tested power assist device was attached a subject and the muscle burden was evaluated by using myoelectric sensors and a musculoskeletal simulator. In addition, in the study of electric motorcycles and mobile robots, these control systems were designed based on the analytical simulation. Through these studies, I’m going to submit papers and give presentations in domestic/international conferences.