WiFi-based indoor robot positioning using deep fuzzy forests

• Main Authors: ZHANG, Le, CHEN Zhenghua, CUI Wei, LI Bing, CHEN Cen, CAO, Zhiguang, GAO Kaizhou
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: wireless fidelity; forestry; databases; visualization; mobile robots; neural networks; deep fuzzy forests; indoor robot positioning; WiFi; Computer Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8157
• Institution: Singapore Management University

Addressing the positioning problem of a mobile robot remains challenging to date despite many years of research. Indoor robot positioning strategies developed in the literature either rely on sophisticated computer vision techniques to handle visual inputs or require strong domain knowledge for nonv...