Human-Centered Robotic System for Agricultural Applications: Design, Development, and Field Evaluation

Jaehwi Seol, Yonghyun Park, Jeonghyeon Pak, Yuseung Jo, Giwan Lee, Yeongmin Kim, Chanyoung Ju, Ayoung Hong () and Hyoung Il Son ()
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Jaehwi Seol: Department of Convergence Biosystems Engineering, Chonnam National University, Yongbong-ro 77, Gwangju 61186, Republic of Korea
Yonghyun Park: Department of Convergence Biosystems Engineering, Chonnam National University, Yongbong-ro 77, Gwangju 61186, Republic of Korea
Jeonghyeon Pak: Department of Convergence Biosystems Engineering, Chonnam National University, Yongbong-ro 77, Gwangju 61186, Republic of Korea
Yuseung Jo: Department of Convergence Biosystems Engineering, Chonnam National University, Yongbong-ro 77, Gwangju 61186, Republic of Korea
Giwan Lee: Department of Mechanical Engineering, Chonnam National University, Gwangju 61186, Republic of Korea
Yeongmin Kim: Department of Mechanical Engineering, Chonnam National University, Gwangju 61186, Republic of Korea
Chanyoung Ju: Automotive Materials & Components R&D Group, Korea Institute of Industrial Technology, Gwangju 61012, Republic of Korea
Ayoung Hong: Department of Mechanical Engineering, Chonnam National University, Gwangju 61186, Republic of Korea
Hyoung Il Son: Department of Convergence Biosystems Engineering, Chonnam National University, Yongbong-ro 77, Gwangju 61186, Republic of Korea

Agriculture, 2024, vol. 14, issue 11, 1-17

Abstract: This paper introduce advancements in agricultural robotics in response to the increasing demand for automation in agriculture. Our research aims to develop humancentered agricultural robotic systems designed to enhance efficiency, sustainability, and user experience across diverse farming environments. We focus on essential applications where human labor and experience significantly impact performance, addressing four primary robotic systems, i.e., harvesting robots, intelligent spraying robots, autonomous driving robots for greenhouse operations, and multirobot systems, as a method to expand functionality and improve performance. Each system is designed to operate in unstructured agricultural environments, adapting to specific needs. The harvesting robots address the laborintensive demands of crop collection, while intelligent spraying robots improve precision in pesticide application. Autonomous driving robots ensure reliable navigation within controlled environments, and multirobot systems enhance operational efficiency through optimized collaboration. Through these contributions, this study offers insights into the future of agricultural robotics, emphasizing the transformative potential of integrated, experience-driven intelligent solutions that complement and support human labor in digital agriculture.

Keywords: agricultural robot; harvesting robot; multirobot systems; autonomous driving; intelligent spraying (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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