Jongho Bae

Korea Institute of Robot and Convergence

Papers

Total Citations

H-Index

About

Dr. Jongho Bae is a robotics researcher whose work spans smart agriculture, warehouse automation, and infrastructure inspection. His most cited paper, "Autonomous System of TMR Feed Feeding Robot for Smart Cattle Farm" (2023, 12 citations), introduces a total mixed ration feeding robot that autonomously navigates cattle farms, addressing labor shortages and improving feeding precision in smart livestock management. In logistics, his 2021 study on reinforcement learning-based box unloading sequence planning (4 citations) tackles the critical challenge of reducing manual labor injuries during truck unloading by optimizing robotic container-unloading workflows. Earlier, Bae contributed to infrastructure safety with a 2019 multi-body dynamics analysis of a non-destructive inspection robot for water main pipes (2 citations), using magnetic leakage methods to detect structural flaws in high-permeability pipes. Collectively, his work demonstrates a practical, systems-level approach to deploying robotics in real-world environments—from farms to warehouses to underground pipes—with a focus on autonomy, safety, and efficiency. Bae’s research is particularly valuable for students and engineers interested in applied robotics, reinforcement learning for industrial tasks, and the integration of sensing and control in challenging operational settings.