Papers
3
Total Citations
34
H-Index
2
About
Doohyun Lee is a leading researcher in robotic manipulation, with a core focus on long-horizon complex tasks, dexterous control, and reproducible benchmarking. His major contribution is the creation of **FurnitureBench**, a groundbreaking real-world benchmark designed to address the limitations of existing robotic manipulation evaluations. Unlike prior benchmarks that focus on simple behaviors, FurnitureBench challenges robots with the full complexity of furniture assembly—requiring integrated solutions in long-horizon planning, visual perception, and fine-grained manipulation. This work has rapidly gained traction, with its 2023 paper accumulating 25 citations and a 2025 follow-up adding 7 more, reflecting its growing influence in the field. Lee’s benchmark is notable for its emphasis on reproducibility, making it an accessible and standardized tool for the robotics community. By bridging the gap between controlled lab settings and real-world complexity, Lee has provided a critical platform for advancing reinforcement learning, imitation learning, and task-and-motion planning. His work is essential reading for any student or researcher aiming to push the boundaries of autonomous robotic manipulation.
Research Focus
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