Towards a Framework for Visual Intelligence in Service Robotics: Epistemic Requirements and Gap Analysis
- KR for service robotics-General
- Combining KR in the lab and robotic applications-General
- Commonsense reasoning for robotics-General
- Reasoning about knowledge, beliefs, and other mental attitudes of robots/humans-General
- KR for robotic cognition-General
- Qualitative reasoning, and reasoning about physical systems for robotics-General
A key capability required by service robots operating in real-world, dynamic environments is that of Visual Intelligence, i.e., the ability to use their vision system, reasoning components and background knowledge to make sense of their environment. In this paper, we analyze the epistemic requirements for Visual Intelligence, both in a top-down fashion, using existing frameworks for human-like Visual Intelligence in the literature, and from the bottom up, based on the errors emerging from object recognition trials in a real-world robotic scenario. Finally, we use these requirements to evaluate current Knowledge Bases for Service Robotics and to identify gaps in the support they provide for Visual Intelligence. These gaps provide the basis of a research agenda for developing more effective knowledge representations for Visual Intelligence.