Pin-Han Lin

Probabilistic Inference in Planning for Partially Observable Long Horizon Problems

For autonomous service robots to successfully perform long horizon tasks in the real world, they must act intelligently in partially observable environments. Most Task and Motion Planning approaches assume full observability of their state space, making them ineffective in stochastic and partially o…