Planning for symbiotic action

The field of Artificial Intelligence (AI) has become increasingly prominent in recent times, with the integration of intelligent components into devices and services we use in everyday life. As the capabilities of such systems become increasingly complex, one branch of AI that becomes increasingly 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...

[1]  Yu Zhang,et al.  Planning for serendipity , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[2]  Matthias Scheutz,et al.  Coordination in human-robot teams using mental modeling and plan recognition , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Yu Zhang,et al.  Proactive Decision Support using Automated Planning , 2016, ArXiv.

[4]  Yu Zhang,et al.  A Formal Framework for Studying Interaction in Human-Robot Societies , 2016, AAAI Workshop: Symbiotic Cognitive Systems.

[5]  Yu Zhang,et al.  A human factors analysis of proactive support in human-robot teaming , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[6]  Yu Zhang,et al.  Planning with Resource Conflicts in Human-Robot Cohabitation , 2016, AAMAS.

[7]  Yu Zhang,et al.  Plan explicability and predictability for robot task planning , 2015, 2017 IEEE International Conference on Robotics and Automation (ICRA).

[8]  S. Kambhampati,et al.  Planning for Serendipity-Altruism in Human-Robot Cohabitation , 2015 .

[9]  Subbarao Kambhampati,et al.  Planning with Stochastic Resource Profiles : An Application to Human-Robot Cohabitation , 2015 .

[10]  Subbarao Kambhampati,et al.  Herding the Crowd: Using Automated Planning for Better Crowdsourced Planning , 2017, Hum. Comput..

[11]  Subbarao Kambhampati,et al.  AI-MIX : How a Planner Can Help Guide Humans Towards a Better Crowdsourced Plan , 2014 .