Max Robotics — Global Service Robot Directory + US Certification

About

Haein Jeon is a rising researcher in the field of human-robot and robot-robot interaction, specializing in reinforcement learning (RL) and cooperative robotics. Her work focuses on making robot training more accessible and less labor-intensive, addressing a critical barrier to the widespread adoption of service and guide robots. Jeon’s major contributions include pioneering deep reinforcement learning frameworks that incorporate adaptive sentiment feedback, allowing robots to learn more intuitively from human emotional cues during cooperative tasks. Her most cited paper, “Deep reinforcement learning for cooperative robots based on adaptive sentiment feedback” (2023), has garnered 19 citations, underscoring its impact on the field. She has also advanced interactive reinforcement learning (IARL) for table balancing robots and, most recently, proposed a novel interactive robot-robot reinforcement learning approach (2024) that minimizes human intervention by enabling robots to teach each other. This work represents a significant step toward scalable, autonomous robot learning systems. Jeon’s research is highly relevant for students and engineers interested in intuitive human-robot collaboration, sentiment-aware AI, and reducing the human labor cost of training intelligent robotic systems.