WELCOME TO RAI LAB!

Rai Lab was founded in March 2020. We are looking for talented and motivated students who want to share their vision for the future of robotics. If you are interested in AI and Robotics, feel free to apply!

RESEARCH

The goal of our research is to develop dynamic, versatile and energy-efficient control methods for legged robots. Realizing such characteristics on legged robots, especially from a control perspective, still remains challenging. Recently, deep reinforcement learning approaches have shed light on this problem. They have demonstrated training of performant controllers for complex mobile robotic systems and promised to solve a number of important decision-making problems in robotics in a scalable manner. We will exploit these recent advances in AI technologies to achieve unprecedented robustness and agility for legged robots.

Lee, Joonho, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, and Marco Hutter.
Learning quadrupedal locomotion over challenging terrain.
Science robotics 5, 2020, Vol. 0, No. 5, pp. 0~ 0

In Ho Kim, Taeyeong Yun, Jae-Eun Kim, Hayoung Yu, Suchithra Padmajan Sasikala, Kyung Eun Lee, Sung Hwan Koo, Hoseong Hwang, Hong Ju Jung, Jeong Young Park, Hyeon Su Jeong, and Sang Ouk Kim
Mussel-Inspired Defect Engineering of Graphene Liquid Crystalline Fibers for Synergistic Enhancement of Mechanical Strength and Electrical Conductivity
ADVANCED MATERIALS, 2018, Vol. 0, No. 0, pp. 0~ 0

Seong-Jun Jeong and Sang Ouk Kim
Nanowire random networks
Materials Today, 2014-10, Vol. 17, No. 8, pp. 0~ 0