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Related Experiment Video

Updated: Feb 14, 2026

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

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Published on: May 11, 2020

A Single RF Emitter-Based Indoor Navigation Method for Autonomous Service Robots.

Tyrone Sherwin¹, Mikala Easte², Andrew Tzer-Yeu Chen³

¹Department of Electrical and Computer Engineering, The University of Auckland, Auckland 1023, New Zealand. tshe835@aucklanduni.ac.nz.

Sensors (Basel, Switzerland)

|February 15, 2018

Summary

This study presents a novel method for robots to find and navigate to dynamic targets using a single radio frequency (RF) emitter and directional antennas. This approach enhances robot navigation in unknown environments without prior infrastructure.

Keywords:

automated mapping autonomous service robots indoor localisation industrial automation robot localisation

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Area of Science:

Robotics and Autonomous Systems
Wireless Communication
Sensor Fusion

Background:

Location-aware services are crucial for intelligent applications like factory automation and search and rescue.
Autonomous robots require robust navigation in unknown environments to reach mobile targets, often without existing infrastructure.

Purpose of the Study:

To propose a novel dynamic target localization approach for autonomous robot navigation.
To enable robots to reach mobile targets using a single radio frequency (RF) emitter.

Main Methods:

Utilizing multiple directional antennas to determine target direction via Received Signal Strength (RSS) comparison.
Employing a particle filter to enhance localization accuracy by mitigating RSS fluctuations.
Integrating Simultaneous Localization and Mapping (SLAM) with A* path planning for navigation in complex, unknown environments.

Main Results:

Demonstrated improved localization performance by combining direction and distance estimates.
Successfully enabled autonomous robot navigation towards a dynamic target in simulated factory automation scenarios.
Validated the system's functionality and performance in various complex navigation tasks.

Conclusions:

The proposed RF-based dynamic target localization and navigation system offers a viable solution for autonomous robots in infrastructure-less environments.
The integration of RSS-based direction finding, particle filtering, and SLAM with A* path planning provides robust navigation capabilities.
This research contributes to advancing intelligent robot applications in fields requiring autonomous navigation and target acquisition.