Funding period: 01/2014 – 12/2017
1. The field of AI is shifting toward building intelligent cyber-physical systems that can collaborate effectively with people, including creative ways to develop interactive and scalable ways for people to teach robots in smart factory scenarios.
2. Results: (1) how to train a robot to interact with the world around it in generalizable and predictable ways, (2) how to facilitate manipulation of objects in interactive environments, and (3) how to interact with factory workers. Advances in robotics will rely on commensurate advances to improve the reliability and generality of computer vision and other forms of machine perception.
3. We investigate in models and algorithms to help develop autonomous systems that can work collaboratively with other systems (e.g., business process model reasoning systems) and with humans.