Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence

Abstract

The Internet of Things (IoT) enables the connection of a broad range of artifacts with advanced sensory technologies and produces massive amounts of data to support ambient intelligence. While the potential of IoT systems is widely recognized, little work has demonstrated a system with the ability to execute autonomously in the real world. Inspired by the success of robotics in specialized IoT environments, we propose an end-to-end solution for a generic, interactive ambient intelligence system where robots can assist humans in conducting activities in IoT-enabled smart homes. We evaluate the solution using implementations of public benchmarks on open-source platforms and use several activities to demonstrate the effectiveness of the proposed solution in real life.