SENSAR: A Visual Tool for Intelligent Robots for Collaborative Human-Robot Interaction
This addresses the need for improved human-robot interaction in collaborative environments, though it appears incremental as it builds on existing AR and robotics research.
The paper tackles the problem of establishing common ground between robots and humans for trust and safety by introducing SENSAR, an augmented reality system that enables robots to communicate sensory and cognitive data in context, allowing users to understand and validate the robot's perception.
Establishing common ground between an intelligent robot and a human requires communication of the robot's intention, behavior, and knowledge to the human to build trust and assure safety in a shared environment. This paper introduces SENSAR (Seeing Everything iN Situ with Augmented Reality), an augmented reality robotic system that enables robots to communicate their sensory and cognitive data in context over the real-world with rendered graphics, allowing a user to understand, correct, and validate the robot's perception of the world. Our system aims to support human-robot interaction research by establishing common ground where the perceptions of the human and the robot align.