Quang-Huy Pham ¹, Cong-Hanh Nguyen ^1,2,*, Hieu-Ngan Ly ¹, Quoc-Cuong Bui ¹, Nhat-Bang Bui ¹, Gia-Nguyen Dang ¹, Trieu-Khang Nguyen ¹, Lam-Bao-Chan Le ¹

¹ Ho Chi Minh City University of Technology and Education (HCMUTE)
Vo Van Ngan Str., No. 01, Ho Chi Minh City (HCMC), Vietnam
² Reeco Science and Technology Company Limited
Room 202B, Building A, Software Technology Zone, Vo Truong Toan Street, HCMC, Vietnam
* Corresponding author. E-mail: conghanhnguyen@reecotech.com.vn

Robotica & Management, Vol. 30, No. 1, pp. 18-25
DOI: https://doi.org/10.24193/rm.2025.1.3

Abstract: Garbage classification is an important problem in big cities. By using a combination of free tools available from the open community, a platform can be created in laboratories for simplify this complicated systems into a simple model for students. However, this system still maintains rich features that help students in researching. In this paper, we present a platform that satisfies these requirements. Besides creating a mechanical robot arm Dobot M1, forward and reverse kinematic calculations are examined for this model. Thence, through image processing combination, we apply a Yolo neuron network (NN) structure. By using this network, based on a set of available data, we enrich the date by our new data. This structure is trained to classify kinds of garbage. Our experimental model works successfully through a survey to prove the high application of this research. A supervision platform is also presented for operators to control the process.

Keywords: robot arm, garbage classification, forward kinematics, reverse kinematic.

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