We propose an approach for instructing a robot using natural language to solve complex
tasks in a dynamic environment. In this study, we elaborate on a framework that allows a …

In real world environments the state is almost never completely known. Exploration is often
expensive. The application of planning in these environments is consequently more difficult …

We present a novel approach for decreasing state uncertainty in planning prior to solving the
planning problem. This is done by making predictions about the state based on currently …

While recent advances in offline reasoning techniques and online execution strategies have
made planning under uncertainty more robust, the application of plans in partially-known …

Offline reasoning techniques and online execution strategies have made planning under
uncertainty more robust. However, the application of plans in partially-known environments …