Kei Sawai
Toyama Prefectural University
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Publication
Featured researches published by Kei Sawai.
international conference on computers helping people with special needs | 2018
Tatsuo Motoyoshi; Sota Mizushima; Kei Sawai; Takumi Tamamoto; Hiroyuki Masuta; Ken’ichi Koyanagi; Toru Oshima
We here propose a three-dimensional shape presentation system using linear actuators which can control the displacement of a rod to a precision of 0.1 mm. We assume that this system will be used as a device to present topographical/shape information to people with visual impairments. For this study, we produced a prototype system equipped with precision linear actuators, and conducted experiments to evaluate the capabilities of the system.
international conference on computers helping people with special needs | 2018
Mariko Tsuda; Tatsuo Motoyoshi; Kei Sawai; Takumi Tamamoto; Hiroyuki Masuta; Ken’ichi Koyanagi; Toru Oshima
We developed a tangible programming education tool “P-CUBE2” to aim at learning benefits of subroutine such as to create a function once and then reuse it. The target user of this tool are visual impairments and inexperienced persons who are not familiar with PC operation. We introduced the function mat, utterance function blocks and HIRAGANA (Japanese character) blocks so that user can learn subroutine concept. Users can create the function of utterance by combining and placing these blocks which on the function mat. The created function of utterance can be called on the main mat. By these operation, the user can control a robot which outputs sound as a controlled object. In this research, we introduce the system configuration of the P-CUBE2 and report the result of experiment for evaluation of the tool operability.
society of instrument and control engineers of japan | 2017
Hiroyuki Masuta; Satoshi Yokoi; Tatsuo Motoyoshi; Kei Sawai; Ken'ichi Koyanagi; Toru Oshima
This paper proposes the Multi-Layer Situation Map to express the relationship between objects and storage places in cleanup task. Recently, service robots have to estimate, decide and act automatically in various situations to provide services like human beings. An interaction robot should perceive a vague situation and communicate with human about cleanup service. For an interaction robot that talks suitable contents according to a vague situation, we propose an estimation system which is called a Multi-Layer Situation Map, and express the relationship between objects and storages.
society of instrument and control engineers of japan | 2017
Ayaka Mori; Ken'ichi Koyanagi; Yuka Misumi; Shingo Teramae; Kei Sawai; Tatsuo Motoyoshi; Hiroyuki Masuta; Toru Oshima
Many stroke survivors experience motor deficits. Rehabilitation is important for the maintenance and recovery of motor functions for activities of daily living. Motivated patients tend to show better rehabilitation effects. In this study, motor function was scored using the Simple Exercise Machine for Upper Limbs (SEMUL) rehabilitation system for upper limbs and the trainees were given feedback on their scores. Nine healthy participants took part in this study and aimed to use the SEMUL once a week for 6 months. We confirmed that their motivation was improved by seeing the changes in their scores.
International Journal of Artificial Life Research | 2017
Hiroyuki Masuta; Tatsuo Motoyoshi; Kei Sawai; Ken'ichi Koyanagi; Toru Oshima; Hun-ok Lim
This paper discusses the direct perception of an unknown object and the action decision to grasp an unknown object using depth sensor for social robots. Conventional methods estimate the accurate physical parameters when a robot wants to grasp an unknown object. Therefore, we propose a perceptual system based on an invariant concept in ecological psychology, which perceives the information relevant to the action of the robot. Firstly, we proposed the plane detection based approach for perceiving an unknown object. In this paper, we propose the sensation of grasping which is expressed by using inertia tensor, and applied with fuzzy inference using the relation between principle moment of inertia. The sensation of grasping encourages the decision for the grasping action directly without inferring from physical value such as size, posture and shape. As experimental results, we show that the sensation of grasping expresses the relative position and posture between the robot and the object, and the embodiment of the robot arm by one parameter. And, we verify the validity of the action decision from the sensation of grasping. Direct Perception and Action Decision for Unknown Object Grasping
world automation congress | 2018
Mariko Tsuda; Tatsuo Motoyoshi; Kei Sawai; Hiroyuki Masuta; Takumi Tamamoto; Ken'ichi Koyanagi; Toru Oshima
The Proceedings of the Bioengineering Conference Annual Meeting of BED/JSME | 2018
Hidemitsu Asano; Toru Oshima; Takumi Tamamaoto; Takanori Higashihara; Ken'ichi Koyanagi; Hiroyuki Masuta; Tatuo Motoyoshi; Kei Sawai
The Proceedings of the Bioengineering Conference Annual Meeting of BED/JSME | 2018
Takumi Tamamoto; Toru Oshima; Takanori Higashihara; Ken'ichi Koyanagi; Hiroyuki Masuta; Tatsuo Motoyoshi; Kei Sawai
The Proceedings of the Bioengineering Conference Annual Meeting of BED/JSME | 2018
Masayoshi Rosaki; Toru Oshima; Takumi Tamamoto; Takanori Higashihara; Ken'ichi Koyanagi; Hiroyuki Masuta; Tatsuo Motoyoshi; Kei Sawai
The Proceedings of Conference of Hokuriku-Shinetsu Branch | 2018
Yuki Yoshii; Kei Sawai; Tatsuo Motoyoshi; Toru Oshima; Ken'ichi Koyanagi; Hiroyuki Masuta; Takumi Tamamoto