Hokyun Im
I am majoring in Artificial Intelligence at Yonsei University, under the guidance of Professor Youngwoon Lee.
My interest is the intersection of robotics and AI. I want to study how to use AI to make robots more intelligent and interactive in the real world. Especially interested in decision making, reasoning, using foundational models.
I received my Bachelor's degree from the School of Electrical and Electronic Engineering at Yonsei University.
Previously, I worked as a research intern at MLCS Lab under the Prof. Jongeun Choi, CLVR Lab under the Prof. Joseph J. Lim.
GitHub
X
LinkedIn
CV
Publications
Will be updated soon.Projects
Project Lead, Yonsei Drone (2024)
Previously, distance-sensing sensors such as depth cameras were necessary for drone navigation. With the advancement of foundation models, we successfully accomplished indoor navigation using only a front-facing RGB image by leveraging the CrossFormer model.
Yonsei Drone (2023)
Fully autonomous outdoor drone navigation using GPS to travel long distances, avoid obstacles, reach the destination to deliver items, and return safely.
I led the development of building approach algorithms, and worked on safe landing using Sim2Real RL.
Other Projects / Activities / Miscellaneous
dm_control based bimanual tabletop simulation / dataset for testing bimanual robot policy.
A student-led drone research society. I served as the 4th president.
The leading academic society for AI at Yonsei University. I was a member of the 11th cohort.
A toy project that allows interactive, real-time manipulation of the latent representation of a VAE on a webpage. Implemented using TensorFlow.js.
HTML games developed in JavaScript during spare time in the military. Quite fun to play haha.
This is a simple pendulum simulator designed as an educational tool. It allows students to explore and understand the principles of PID control, including its implementation and parameter tuning.