Localization of Mobile Robots Using Range-Only Measurements

Abstract

This research aims at investigating which configuration of range-only measurement sensors, the active or passivemode, performs better for mobile robot localization as the number of robots increases. The research has established that when the number of robots increases there is a turnover point where the passive mode performs better than the active mode. Our qualitative findings based on quantitative measurements and simulations can be extrapolated for different environments with further research.

Download: paper_mobile_robots_19-617.pdf

Graphical abstract

Tim Zaman

MSc Biorobotics. Specialization in computer vision and deep learning. Works at NVIDIA.

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