Jusuk Lee

Hello! I am a Integrated M.S./Ph.D. Student under the supervision of Prof.H.Jin kim at Seoul National University. I completed my B.S. in Mechanical Engineering at Yonsei University.
I am interested in the intersection of robotics, machine learning, and deep learning. I am currently focusing on building a generalizable robotic agents capable of adapting to new tasks and environments.

Email  /  CV  /  Google Scholar  /  Github

News

• Mar 2024: I joined LARR at Seoul National University.

Publications

Representative papers are highlighted.
Coming Soon...

Projects

Representative projects are highlighted.

	Learning Cooperation with Learned Skills Multi-agent reinforcement learning(MARL) typically requires the design of a sophisticated reward function to effectively guide multiple agents in learning desirable behaviors. However, this process is time-consuming and demands domain knowledge. In this paper, we train each agent to learn a diverse set of skills in advance. Then the agents are able to solve complex tasks by effectively coordinating these skills. Mar. 2024 - Jun. 2024 paper | code
	Autonomous drone system This project focuses on developing an autonomous drone system capable of real-time obstacle avoidance, building exploration, payload delivery to a specified location, and safe return to home base. The system has been successfully applied in both simulation and on real hardware. Mar. 2023 - Sep. 2023 video | code(real) | code(simulation)
	Collision detection system based on computer vision for Human-Robot Interaction This project proposes a system that detects collision between an operator and a robot by using a depth camera. Through a human pose detector, the proposed collision detection system obtains the positional information of key points of the operator from the images taken by the depth camera. In addition, the positional information of each robot link is obtained from the joint angle data of the robot through forward kinematics. Then a bounding volume (OBB: Oriented Bounding Box) is applied to both the operator and each robot link. The SAT (Separated Axis Theorem) is used to detect overlap between bounding volumes and return a feedback signal. Sep. 2022 - Dec. 2022 paper | code

Awards and Achievements

• [Award] 2nd Place at the 21st Korean Aerospace Aircraft Competition
• [Scholarship] Scholarship for academic excellence (2021, 2022)

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