Papers
4
Total Citations
97
H-Index
4
About
Inhoon Jang is a robotics researcher whose work sits at the intersection of agricultural automation, assistive technology, and human-robot interaction. His most impactful contribution is the development of Deep-ToMaToS, a deep learning network that uses transformation loss for 6D pose estimation of maturity-classified tomatoes with side-stems—a key innovation for robotic tomato harvesting. This work, published in 2022, has already garnered 79 citations, reflecting its significance in precision agriculture. Jang also advances teleoperation systems, designing shared controllers for obstacle avoidance and VR visualization frameworks that integrate deep learning to improve remote operability. In the domain of assistive robotics, he has developed a meal intention recognition system that uses gaze direction estimation to enable care robots to intelligently interact with elderly and disabled users, providing dietary supplements in real-time. This work highlights his commitment to creating intuitive, human-centered robotic interfaces. Jang’s research demonstrates a clear trajectory from enabling autonomous agricultural robots to enhancing the quality of life through intelligent assistive systems, making him a notable figure in applied deep learning and robotics.
Research Focus
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