Robot navigation in crowded public spaces is a complex task that requires addressing a
variety of engineering and human factors challenges. These challenges have motivated a …

We research and develop autonomous mobile service robots as Collaborative Robots, ie,
CoBots. For the last three years, our four CoBots have autonomously navigated in our multi …

Robots inevitably fail, often without the ability to recover autonomously. We demonstrate an
approach for enabling a robot to recover from failures by communicating its need for specific …

We study how robots can autonomously learn skills that require a combination of navigation
and gras**. Learning robotic skills in the real world remains challenging without large …

Robots inevitably fail, often without the ability to recover autonomously. We demonstrate an
approach for enabling a robot to recover from failures by communicating its need for specific …

This article describes REBA, a knowledge representation and reasoning architecture for
robots that is based on tightly-coupled transition diagrams of the domain at two different …

Indoor autonomous mobile service robots can overcome their hardware and potential
algorithmic limitations by asking humans for help. In this work, we focus on mobile robots …

Our goal is to improve the efficiency and effectiveness of natural language communication
between humans and robots. Human language is frequently ambiguous, and a robot's …

Our goal is to build robots that can robustly interact with humans using natural language.
This problem is challenging because human language is filled with ambiguity, and …

Deployment of robots in practical domains poses key knowledge representation and
reasoning challenges. Robots need to represent and reason with incomplete domain …