The Robotics Institute

My research interests lie broadly in artificial intelligence and particularly center on automated planning and scheduling for applications in space missions, transportation and logistics problems, and domains for which human-computer interaction plays a prominent role. I have recently focused on incremental scheduling approaches that seek to maximize plan quality in domains where the utility gained by executing an activity is a function of the time and resources that are allocated to it. I am also working towards the integration and interleaving of automated planning methods into large-scale, human-directed scheduling systems. I have adapted machine learning methods to boost planning performance and am exploring adaptation of such techniques to the scheduling aspect of an integrated system.