Planning for Symbiotic Action (Doctoral Consortium)

The field of Artificial Intelligence (AI) has become extremely prominent in recent times, with the integration of different intelligent components into devices and services we use in everyday life. As the capabilities of such systems become more and more complex, one branch of AI that becomes relevant is that of automated planning or sequential decision making, in order for these components to participate in diverse long term tasks. A key aspect of such systems is increased interaction with humans. Challenges in Human-in-the-Loop Planning (HILP) Classical planning has traditionally emphasized on the efficiency or accuracy of the plan generation process. However, in real world applications, especially involving humans, planners must deal with typical challenges including uncertainty and partial knowledge, and issues involving priorities and authority. Technologies that become crucial in this context involve abilities to dynamically predict, anticipate and adapt to changing needs while making task plans. My research focuses on such aspects of "human-in-the-loop planning".