A knowledge representation and reasoning framework for robot prospection in everyday activity ((10) R03)

• Subject Area: Automation, Mechatronics, Control Systems, Intelligent Technical Systems, Robotics
• Term: since 2017
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 329551904

Prospection — the ability to represent what might happen in the future — is an essential cognitive capability of robot agents, which is not a single, stand-alone reasoning method, but rather an ensemble of different modes of future thinking, including simulation, prediction, imagistic reasoning, intention formation, and planning. In phase II, Subproject R03 investigates prospection in robot agents by designing, developing, and studying a knowledge representation and reasoning (KR&R) framework for prospection that includes and maintains different forms and modes of prospection.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1320: EASE – Everyday Activity Science and Engineering
• Applicant Institution: Universität Bremen
• Project Heads: Professor Dr. Michael Beetz, Ph.D.; Professor Dr.-Ing. Gabriel Zachmann