Jeongho Lee
Papers
2
Total Citations
27
H-Index
2
About
Jeongho Lee is a leading researcher in autonomous service robotics, with a primary focus on enabling robots to manipulate objects safely and effectively in unstructured human environments. His major contributions center on developing intelligent software architectures and reinforcement learning strategies that allow robots to operate without human intervention or prior knowledge of their surroundings. Lee's most cited work, "A Software Architecture for Service Robots Manipulating Objects in Human Environments" (2020, 20 citations), introduces a pioneering framework for autonomous manipulation in cluttered, dynamic spaces—a critical step toward practical home and workplace assistants. He further advanced this field with "Obstacle rearrangement for robotic manipulation in clutter using a deep Q-network" (2021, 7 citations), demonstrating how deep reinforcement learning can enable robots to intelligently reorganize obstacles to access target objects. Lee's research bridges the gap between theoretical control systems and real-world deployment, addressing fundamental challenges in perception, planning, and adaptation. His work is particularly notable for its emphasis on autonomy in unpredictable settings, laying the groundwork for next-generation service robots that can assist with everyday tasks without constant human guidance.
Research Focus
Key Achievements
Top Papers
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- 2