Cognitive Assistance is a new research agenda to assist everyday life by fully utilizing the power of AI. AI is now starting to understand the surrounding world to make sense of the information for people who are unable to see. Additionally, those computers are starting to remember everything to fulfill the declining cognitive abilities of elderly people. The advancement of computing technologies now touches the level of cognition, starting to substitute and expand their abilities.
The vision of our lab is to realize robust autonomous systems built for real-world perception and interactive decision-making. The key focus areas of our lab are perception, decision-making and interaction. Our focus is broad because we believe that innovating at the system-level requires expertise and integration at the component level.
We innovate across the full spectrum of perception including vision-based human pose estimation, action recognition, object detection/tracking/forecasting, 3D scene understanding. We develop computational models for reinforcement learning, inverse reinforcement learning, imitation learning, game-theoretic modeling and Neural Architecture Search. We build real-world systems to enable cyber-physical interaction including wearable camera systems, multi-modal sensors, portable navigational aides and assistive mobile robots.
Carnegie Mellon University Cognitive Assistance Laboratory is established to lead the revolution, and become the center of ripple effects toward everybody in our society.