Modelling a real-time multi-sensor fusion-based navigation system for indoor human-following companion robots

Mark Tee presented the research titled “Modelling a Real-Time Multi-Sensor Fusion-Based Navigation System for Indoor Human-Following Companion Robots”. His work aimed to help solve a fundamental problem in ensuring that robots are able to reliably follow and accompany cognitively disabled children safely. The solution mimics how we humans visually perceive our surroundings in an unfamiliar place and approximate a path of least obstacles towards our destination. The novelty of this work is that the model is designed to accommodate existing navigation methods and commercially available components, bringing us closer to a future with a companion robot in every home.