Paanthong Sroymuk
Rajamangala University of Technology Isan

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Development of hi-rail vehicle driven on metre-gauge railway/road in Thailand Viroch Sukontanakarn; Paanthong Sroymuk; Boonlit Pongsatitpat
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i1.3273

Abstract

This research aims to develop a pickup truck to become a hi-rail vehicle that runs on meter gauge railways in Thailand. It is intended to be used for rails maintenance or response times during train derailments and for accessing inaccessible areas via rails in emergency situations. A hi-rail vehicle can travel both on rails and roads. The guide train steel wheels set is designed to have steel wheels running on rails with the vehicle being raised above the rails using a programmable logic controller for hydraulic cylinders. The results of the road test can run at a normal speed of not more than 90 kilometers per hour. The results of the test run on the rails can run at speed of not more than 30 kilometers per hour. There is a vibration of the hi-rail vehicle due to the designed guide train steel wheels set mechanism that can be accepted.
Integration of image processing with 6-degrees-of-freedom robotic arm for advanced automation Paanthong Sroymuk; Paramust Juntarakod; Viroch Sukontanakarn
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 3: June 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i3.26617

Abstract

This paper presents the design, construction, and development of a 6-degrees-of-freedom robotic arm, specifically tailored to the conditions at our university. The arm is powered by stepper motors and controlled via a programmable logic controller, while utilizing image processing data from a Raspberry Pi board. The objective of this research is to study automated pick-and-place operations, specifically targeting the handling of fruits such as oranges and apples. The system integrates advanced motion control techniques with vision-based object recognition to enable precise and reliable manipulation of the fruits. The robotic arm is equipped with an end-effector capable of handling objects with varying shapes and sizes, ensuring safe and efficient grasping and placement. Image processing algorithms are employed to identify and localize the fruits in real time, allowing the robotic arm to perform tasks in dynamic environments with minimal human intervention. Calibration, motion planning, and feedback control strategies are optimized to ensure high accuracy and prevent collisions or damage to the fruits. The system’s performance is evaluated through a series of experiments that demonstrate its capability to effectively pick and place oranges and apples, making it a promising solution for applications in agricultural automation and food processing.