A Microcontroller Based Four Fingered Robotic Hand

Ramaiah, P. Seetha; Rao, M. Venkateswara; Satyanarayana, Gedu

doi:10.5121/ijaia.2011.2207

Cited by 14 publications

(8 citation statements)

References 15 publications

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“…The system built a desktop-based application built using Visual Basic .NET programming language, whereas for arduino microcontroller using the C programming language [9], [10]. The architecture of a system built shown in Figure 1.…”

Section: Analysis and Design Systemmentioning

confidence: 99%

Push-Up Detector Applications Using Quality Function Development and Anthropometry for Movement Error Detection

Muzakir

Kusmindari

2018

SJI

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Push-up is the simplest and most widely performed sport. Although simple, it also has a high risk of injury risk if done not in accordance with the rules. Push-up detector is a good push-up motion monitoring solution. In this way, nonstandard movements can be detected and corrected immediately. It has two motion sensors integrated with Arduino-based microcontroller. From this detector tool got the data of push-up result from sensor mounted. Sensor data will be displayed in the application in real-time. Quality function development is used to determine the criteria of the user. The sample data involved 200 participants who followed the testing of this tool and got 90% who can do the push-up correctly. Factors that affect the height, age, and weight. Tests conducted on adolescent boys aged 18-23 years. The results of this study is an application capable of monitoring each push-up movement to position in accordance with the provisions to minimize injuries resulting from movement errors.

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Section: Analysis and Design Systemmentioning

confidence: 99%

Push-Up Detector Applications Using Quality Function Development and Anthropometry for Movement Error Detection

Muzakir

Kusmindari

2018

SJI

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“…Almost all bionic devices consist of several structural parts or modules. The presence of control blocks, measuring sensors or executive mechanisms [5][6][7][8] in many cases defines the success of final realization of bionic system (BS). Moreover, for reaching of the natural sensitivity of BS there applies different feedback kinds.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, for reaching of the natural sensitivity of BS there applies different feedback kinds. For example, vibro-tactile, optical, ultrasonic, and force feedbacks already uses for increasing of efficiency of modern prosthesis devices [6,9,10].…”

Section: Introductionmentioning

confidence: 99%

Optical Feedback Based on the Photometryby Ellipsoidal Reflector in Bionic Fingers Application

Vonsevych¹,

Bezuglyi²,

Prytula³

2019

KPI SN

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Background. The investigation focus is the specificity of effective recognition of surface types during the interaction between finger prosthesis and manipulation objects, and organization of optical feedback system in the control module of bionic limb. Objective. The purpose of the paper is development and testing of method of optical feedback organization in the systems of bionic prostheses of human hand fingers. Methods. The developed system of optical feedback is based on the microcontroller measuring device with infrared (IR) optical emitter and sensor, ellipsoidal reflector, and artificial neural network. Results. During the research the comparison of application effectivity of optical feedback system with ellipsoidal reflector and without one was performed. The analysis was performed by classification of set with twelve, eleven, and ten types of surfaces of investigated specimens with the means of artificial neural network. The obtained accuracy of surface recognition for the system without an ellipsoidal reflector was 77%, 82% and 87%. In turn, the accuracy of surface recognition in the application of the ellipsoidal reflector was 94%, 98%, and 100%, correspondingly. Such results prove the possibility of further use of the photometry system by ellipsoidal reflectors for organization of constructive parts or complete feedback modules of the bionic fingers. Conclusions. The organization system of optical feedback based on optical emitter and sensor, ellipsoidal reflectors and artificial neural network for recognition of kinds of separate surfaces, with which can interact bionic prostheses fingers is proposed. The proposed system proved the certainty in recognition of limited set of investigated specimens. The efficiency of such system can be improved by using sensors array and wider data set for training.

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“…To develop the applications of hold-and-place robots, it is important to automate its manipulation process [1,2,3,4,5,6,7]. Also, vision is considered to be the most valuable sense of automating a robotic system.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Building and Programming a Smart Robotic System for Distinguishing Objects Based on their Shape and Colour

Sharari¹

2015

Journal of Theoretical and Applied Mechanics

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This paper presents a robotic system designed for holding and placing objects based on their colour and shape. The presented robot is given a complete set of instructions of positions and orientation angles for each manipulation motion. The main feature in this paper is that the developed robot used a combination of vision and motion systems for holding and placing the work-objects, mounted on the flat work-plane, based on their shapes and colorus . This combination improves the flexibility of manipulation which may help eliminate the use of some expensive manipulation tasks in a variety of industrial applications. The robotic system presented in this paper is designed as an educational robot that possesses the ability for holding-and-placing operations with limited load. To process the various instructions for holding and placing the work objects, a main control unit -Manipulation Control Unit (MCU) is used as well as a slave unit that performed the actual instructions from the MCU.

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A Microcontroller Based Four Fingered Robotic Hand

Abstract: In this paper we deal with the design and development of a Four Fingered

Cited by 14 publications

References 15 publications

Push-Up Detector Applications Using Quality Function Development and Anthropometry for Movement Error Detection

Push-Up Detector Applications Using Quality Function Development and Anthropometry for Movement Error Detection

Optical Feedback Based on the Photometryby Ellipsoidal Reflector in Bionic Fingers Application

Building and Programming a Smart Robotic System for Distinguishing Objects Based on their Shape and Colour

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