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Dive into the research topics where Kei Sawai is active.

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Featured researches published by Kei Sawai.


international conference on computers helping people with special needs | 2018

Prototype Development of a Shape Presentation System Using Linear Actuators

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

Improvement of a Tangible Programming Tool for the Study of the Subroutine Concept

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

Multi-layer situation map for robot interaction based on situation

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

Improving motivation for training using a rehabilitation system for upper limbs to provide feedback on motor function scores

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

Direct Perception and Action Decision for Unknown Object Grasping

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

System Operation Improvement of P-CUBE2 for Visually Impaired People

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

Proposal of walking training method with virtual walking model

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

Mechanism and control of antagonistic muscle driven Electro-Hydrostatic Actuator

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

Walking Model using the Parallel Link Mechanism and Rocker Function

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

Proposal of Packet Format in Wireless Mobile Robot Tele-Operation using ZigBee Network as Reserve Communication Infrastructure

Yuki Yoshii; Kei Sawai; Tatsuo Motoyoshi; Toru Oshima; Ken'ichi Koyanagi; Hiroyuki Masuta; Takumi Tamamoto

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Hiroyuki Masuta

Toyama Prefectural University

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Toru Oshima

Toyama Prefectural University

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Tatsuo Motoyoshi

Toyama Prefectural University

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Ken'ichi Koyanagi

Toyama Prefectural University

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Takumi Tamamoto

Toyama Prefectural University

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Ken’ichi Koyanagi

Toyama Prefectural University

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Masayoshi Rosaki

Toyama Prefectural University

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Takanori Higashihara

Toyama Prefectural University

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Hidemitsu Asano

Toyama Prefectural University

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Tomohiko Fujikawa

Toyama National College of Maritime Technology

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