Smartphone-based robot self-localization method

Smartphone-based robot self-localization method

This technology calculates the distance between a mobile robot and a smartphone by measuring the RSSI (Received Signal Strength Indicator)-based path loss between Wi-Fi transmitters attached to three or more robot arms and a smartphone receiver, and estimates the robot's self-position through triangulation and geometric calculations.

Existing indoor positioning technologies are inefficient in terms of resources and time, as they require the construction of expensive, dedicated embedded platforms and prior knowledge of node locations.

This technology rotates the mobile robot to align the relative angles between the robot arms and the smartphone, then applies the Wi-Fi RSSI-based Friis transmission equation and triangulation to calculate the position in real-time on the smartphone platform. It can be applied to logistics transport, service robots, and autonomous driving platforms, thereby improving the efficiency of robot localization without additional infrastructure and reducing resource waste by utilizing the smartphone platform.

‍

‍

Key Features:

• (D) The smartphone platform processes the collected distance information in real-time using a pre-stored robot localization program to calculate the current robot position.
• The smartphone platform collects distance information in real-time.
• (A) Rotating the mobile robot using a pre-installed robot control and localization program stored in the smartphone's memory, such that the smartphone is positioned at an equal distance from two robot arms located on either side of the smartphone, among at least three robot arms with different orientations attached to the mobile robot.
• (B) Calculating the distance between the smartphone and the robot arms attached to the mobile robot using the RSSI values of short-range signals, which utilize the path loss of radio waves between short-range transmitters attached to each robot arm and a short-range receiver configured in the smartphone.

‍

This invention was developed with support from the Ministry of Education, Science and Technology for the development of convergence technology for new and renewable energy intelligent robots.