SEOUL--(뉴스와이어)--Guru IoT, the Internet-of-Things products developer, said that it is currently developing self-driving smart mobility based on digital-twin map data.

As the existing technology used in self-driving mobility is based on LiDAR sensors to generate maps in real time, it is not feasible for the mass market. Meanwhile, the digital-twin 3D map data-based self-driving mobility wheelchair under development by Guru IoT has adopted a technology to synchronize server-stored map data within a certain interval in the server, which can replace the sensor data. At the same time, it has improved self-driving accuracy by modifying sensor data.

Guru IoT's self-driving wheelchair can navigate through a crowd or physical obstacles by reducing speed, avoiding hurdles, and stopping. In addition, it is equipped with safety features such as vibration and overturn prevention functions that are not available in any other electric wheelchairs. For example, the self-driving robot wheelchair can maintain a constant speed on a steep slope by allowing the driver to pull it with two hands. If the rider loses the grip, the wheelchair stops by itself.

The self-driving wheelchair has enhanced its safety by putting in features such as safety distance maintenance, driving mode shifting depending on the situation, emergency braking, and malfunction alarm, in accordance with self-driving safety standards proposed by the Ministry of Land, Infrastructure and Transport, as well as route monitoring through data synchronized with the server.

Song Su-han, president of Guru IoT, said, “Our self-driving wheelchair is the prime example of showing that robots and humans can work together well from a human-robot interaction perspective. We at Guru IoT will try hard to come up with new products and services that can help more people by combining good ideas with technologies we are developing.”