Lotte Construction Deploys 'Autonomous Robots' for Dusty Floor Cleaning at Construction Sites

Collaboration with Robotics Specialist

Unmanned Operation Possible Even at Night

Lotte Construction has introduced an "autonomous floor cleaning robot" (hereafter referred to as the autonomous cleaning robot) at its construction sites to reduce simple tasks such as cleaning for on-site workers, thereby improving work efficiency.

On July 29, Lotte Construction announced that it had started actual operation of the cleaning robot after conducting a trial of the robot’s technology (technology demonstration·PoC) with robotics specialist TXR Robotics at the “Incheon Hyoseong District Urban Development Project, Residential Complex Block 4” site.

At the construction site under Lotte Engineering & Construction's supervision, a "self-driving floor cleaning robot" (left) bypasses obstacles (top right), cleans the floor, and then autonomously returns to its charging station (bottom right). Lotte Engineering & Construction

Until now, construction site cleaning was conducted by workers who manually collected waste and used vacuum cleaners to remove dust. Dust was generated during the cleaning process, requiring workers to wear dust masks even in the summer.

The cleaning robot learns the area to be cleaned based on a pre-programmed site map and autonomously moves through the designated sections. It removes general waste and dust, and after completing its cleaning work, automatically returns to the charging station for recharging.

The robot can detect both workers and obstacles to avoid collisions, and is equipped with built-in lighting, enabling unmanned operation even at night or in low-light conditions.

Lotte Construction plans to expand the use of cleaning robots to other construction sites nearing completion based on the results from this on-site operation.

A Lotte Construction official said, “The introduction of autonomous cleaning robots will reduce simple and repetitive cleaning tasks, allowing workers to focus on construction. We also expect work efficiency to improve.”

This content was produced with the assistance of AI translation services.