하기와 같이 컴퓨터 AI학과 학생을 대상으로 세미나를 진행합니다.

관심 있는 분들의 많은 참여 바랍니다.

 

 

 

ABSTRACT:

The recent progress in Artificial Intelligence (AI) and Robotics make us wonder how intelligent the current state-of-the-art robots are in terms of general capabilities. Will we soon witness the general-purpose robots that can help humans in various tasks such as house chores or personal care? To answer this question, I present a digest of diverse views of roboticists on the future of robot intelligence. While some experts believe that it is only a matter of time until enough training data becomes available for robots to achieve a similar kind of breakthrough observed in language models, others argue that there are critical challenges that data alone would not be sufficient to address, e.g., dexterity, safety, and social intelligence. The latter resonates with my view leading to my research directions on human robot collaboration. Real world problems are too nuanced to expect fully autonomous robots; however, I envision that collaborative robotic tools specialized in certain tasks can work with humans as a competent teammate. Towards the goal of promoting human values such as safety, compassion, and creativity, I advocate such human-in-the-loop models for the areas of future innovations.

 

BIO: Jean Oh is an Associate Research Professor at the Robotics Institute at Carnegie Mellon University (CMU). The philosophical goal of Jean’s lab (roBot Intelligence Group, BIG) is to develop technologies to remind us of “what makes us humans,” promoting humanity such as safety, creativity, and compassion. Jean’s research is three-fold. First, her social navigation research addresses the safety of indoor space, urban driving, and aerial transportation. Next, Jean pioneered the field of arts in robotics, connecting robotics with creativity. Whereas generative AI generates in virtual space, Jean’s work creates stuff in the real world using robot hands. Since the launch of FRIDA robot painting project, Jean’s research has expanded to make various artifacts such as pottery, toys, sculptures, and pasta. Finally, Jean is leading the multicultural data collection project to add compassion to AI. She aims to collaborate with the experts in AI and policy makers around the globe toward fair and equitable AI. Jean’s works have won numerous best paper awards at various robotics conferences such as IEEE International Conference on Robotics and Automation (ICRA), ACM/IEEE International Conference on Human-Robot Interaction (HRI) and featured in media around the world including New York Times, CNET. Jean received PhD at CMU, MS at Columbia University, and BS at Yonsei University.