Semir Tatlidil

Robot Planning Under Uncertainty for Object Assembly and Troubleshooting Using Human Causal Models

In this paper we explore if human mental models of objects, even when flawed, can be integrated with a collaborative robot's decision making framework to allow it to make smarter choices under partial observability for different object-related tasks such as assembly and troubleshooting. We demonstra