TY - JOUR
T1 - Mechatronics Design and Motion Simulation of a Hybrid Wheeled-SCARA Mobile Robot Coupled with Artificial Vision for Solid Waste Collection on Stone Beaches
AU - Alva, Juan
AU - Meza, Renzo
AU - Palomares, Ricardo
AU - Cornejo, Jose
N1 - Publisher Copyright:
© 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
PY - 2025
Y1 - 2025
N2 - Plastic on beaches and seas is a problem that affects the entire planet; more than 300 million metric tons of plastic are produced per year, in contrast to the 1.5 million metric tons recorded in 1950. In a world where the annual production of plastic is measured in hundreds of millions of tons, it is essential to critically address the collateral effects of this material on our environment, intending to propose innovative and sustainable solutions to mitigate its negative consequences. This study aims to solve the health problem caused by plastic bottles on beaches. The proposed collector robot aims to be a solution dedicated to beach cleaning by having the capacity to collect plastic bottles from 0.5 to 2 liters. The robot is a ROVER-type mobile, a Selective Compliance Assembly Robot Arm (SCARA) type manipulator, an identification system based on You Only Look Once (YOLO) v8, and a master-slave control of electronic subsystems. The structure of the mobile robot is made of 6063-T6 aluminum and EN-AW 1200, while the manipulator uses T800s carbon fiber. The parts of the mobile structure were subjected to loads until 1000 N, resulting in a maximum deformation of 8.398 μm and safety factors above 2.7, ensuring that the structure support the estimated weight of 60 kg. The control was developed in Matlab with a PID closed-loop system and was validated in tests that confirmed its correct operation. In the tests of the artificial vision models, all 5 bottles that were placed were detected, achieving a minimum match of 0.84 with the nano version of YOLOv8. A virtual environment was recreated to guarantee the proper functioning of the systems independently and intertwined, mobility, identification, and operation tests were carried out, achieving optimal results.
AB - Plastic on beaches and seas is a problem that affects the entire planet; more than 300 million metric tons of plastic are produced per year, in contrast to the 1.5 million metric tons recorded in 1950. In a world where the annual production of plastic is measured in hundreds of millions of tons, it is essential to critically address the collateral effects of this material on our environment, intending to propose innovative and sustainable solutions to mitigate its negative consequences. This study aims to solve the health problem caused by plastic bottles on beaches. The proposed collector robot aims to be a solution dedicated to beach cleaning by having the capacity to collect plastic bottles from 0.5 to 2 liters. The robot is a ROVER-type mobile, a Selective Compliance Assembly Robot Arm (SCARA) type manipulator, an identification system based on You Only Look Once (YOLO) v8, and a master-slave control of electronic subsystems. The structure of the mobile robot is made of 6063-T6 aluminum and EN-AW 1200, while the manipulator uses T800s carbon fiber. The parts of the mobile structure were subjected to loads until 1000 N, resulting in a maximum deformation of 8.398 μm and safety factors above 2.7, ensuring that the structure support the estimated weight of 60 kg. The control was developed in Matlab with a PID closed-loop system and was validated in tests that confirmed its correct operation. In the tests of the artificial vision models, all 5 bottles that were placed were detected, achieving a minimum match of 0.84 with the nano version of YOLOv8. A virtual environment was recreated to guarantee the proper functioning of the systems independently and intertwined, mobility, identification, and operation tests were carried out, achieving optimal results.
KW - deep learning
KW - environmental threat
KW - plastic contamination
KW - recollection
KW - ROVER robot
KW - SCARA robot
KW - Simscape
UR - https://www.scopus.com/pages/publications/86000792362
U2 - 10.18178/ijmerr.14.2.114-133
DO - 10.18178/ijmerr.14.2.114-133
M3 - Artículo
AN - SCOPUS:86000792362
SN - 2278-0149
VL - 14
SP - 114
EP - 133
JO - International Journal of Mechanical Engineering and Robotics Research
JF - International Journal of Mechanical Engineering and Robotics Research
IS - 2
ER -