Modular Motor Driver with Torque Control for Gripping Mechanism

How, Dickson Neoh Tze; Baharuddin, Mohd Zafri; Mohideen, Syed Sulaiman Kaja; Sahari, Khairul Salleh Mohamed; Anuar, Adzly

doi:10.1016/j.proeng.2012.07.338

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…The wheels are 74.21% smaller and 87% lighter. The same can be observed with the motor controller which is 92.7% smaller and 55% lighter than in the previous version [43,44].…”

Section: Assembly Efficiencysupporting

confidence: 80%

“…3) The L298N module is replaced by the TB6612FNG module reducing current consumption by 800 mA. This modification does not lead to a reduction of the mobility of the RA as the new motors are capable to adapt their current demand to the new controller current [43,44]. 4) The raspberry model 3 B+ is replaced by the Raspberry model 4.…”

Section: A Energy Efficiencymentioning

confidence: 99%

“…By removing some electronic elements from the first version, the design of the 3D structure of the robot is smaller, indicating that the printing will require less time (the price is reduced by 45 %). The cost of the materials used to build the second version of the RA is reduced by 22 %, while also reducing its production time by 37 % [40,41,[43][44][45]. With all these improvements, the new version of the RA is built and is ready to be positioned on the child's workstation.…”

Section: Scalabilitymentioning

confidence: 99%

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Assessment of a Robotic Assistant for Supporting Homework Activities of Children With ADHD

et al. 2021

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Robotics, Artificial Intelligence (AI), and the Internet of Things (IoT) support various processes in many scenarios of modern life such as e-health and psychological treatments. This article presents the design, development, implementation, and assessment of a Robotic Assistant (RA), named "Atent@", as a support tool in the homework activities of children with Attention Deficit Hyperactivity Disorder (ADHD). Interacting with the children the RA helps them correct their bad habits and misbehavior caused by the disorder. Its features and functionalities were designed by therapists, implementing AI algorithms to process information and make decisions in real-time to help children to be focused on their homework. This RA interacts with smart objects deployed at home, which are associated with the activity under observation (desk and chair). This solution allows therapists to receive more accurate information about the homework sessions inside the home. At the same time, remote interaction with the child is made possible (through the RA) to provide new instructions and support him/her along with the sessions. This RA is a significant evolution of an earlier version. All the improvements brought to the project by the modifications in technical and qualitative features are explained. Furthermore, the experiment and its results are presented to illustrate the clinical potential. This project shows that the RA can not only make observations with a high degree of precision like an expert (teacher/therapist) but also positively influences the homework performance of children with and without ADHD.

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“…The wheels are 74.21% smaller and 87% lighter. The same can be observed with the motor controller which is 92.7% smaller and 55% lighter than in the previous version [43,44].…”

Section: Assembly Efficiencysupporting

confidence: 80%

Section: A Energy Efficiencymentioning

confidence: 99%

Section: Scalabilitymentioning

confidence: 99%

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Assessment of a Robotic Assistant for Supporting Homework Activities of Children With ADHD

et al. 2021

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Fabrication of Variable Speed Lamina Cutting Machine

Nikhil

Srinivasababu

2021

Advances in Intelligent Systems and Computing

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Predicting the next oil change for automotive engine oil

Ibrahim

Stapah

Ruslan

et al. 2019

J. Phys.: Conf. Ser.

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The main purpose of the engine lubrication system is to supply lubricating oil to all moving parts in the engines to reduce friction rates. The failure of this can cause damage to the engine system. The aim for this project is to develop a user-friendly device to predict as accurately as possible the next oil change for an automobile. The device consisted of four main parts, the electronic part, the heating element, the main body and the cover. A 12V DC motor is used to measure the current as the shaft connected to the motor immersed in fluid which temperature is controlled at 40 Celsius. The experiment was conducted using waste oil lubricant (WLO) collected from an automobile servicing centre. The behaviour of a given fluid was analysed using data generated. A measure of viscosity was calculated. The upper limit of viscosity change is set to +15% change and -10% for lower limit. The result shows the deterioration of WLO in term of viscosity. From the sample tested with the device, all the WLO were overused as the oil was over the allowable limit of viscosity changes which could present a danger of possible damage to the engine. Therefore, this device can function as a preventive maintenance device of car as the user can predict when is the best time to change their automobile oil lubricant.

show abstract

Modular Motor Driver with Torque Control for Gripping Mechanism

Cited by 4 publications

References 5 publications

Assessment of a Robotic Assistant for Supporting Homework Activities of Children With ADHD

Assessment of a Robotic Assistant for Supporting Homework Activities of Children With ADHD

Fabrication of Variable Speed Lamina Cutting Machine

Predicting the next oil change for automotive engine oil

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