Jose L. Part
The project aims at developing and implementing a framework that would enable robots to operate robustly in human environments and to communicate effectively with people using natural language. To this end, the project can be divided into two main lines of work. First, we will develop algorithms for lifelong learning of objects through interactive dialogue and visual perception. Second, we will develop methods for learning tasks through situated natural language instructions and visual demonstrations.
My current research interests include lifelong learning, situated interactive learning, hierarchical task learning, language grounding, learning through dialogue and visual demonstration, interactive semantic mapping, and cognitive systems. For a list of publications and more information, please visit my website!