Using Ozmo, a system that integrates industrial robots, computer vision systems, AI and machine learning, Skyline Robotics has effectively automated the cleaning of skyscraper windows. By removing humans from the window cleaning platform, Ozmo reduces the time required to complete the process. Skyscrapers are now safe thanks to this innovative, industry-changing approach.
Ozmo is a robot that can clean windows without the need for human assistance. Only one person is needed on the roof to operate the crane, the electricity and water supplies, and the basket while the robot cleans. Ozmo, which consists of a table with sensors and processors, is intended to fit into the existing building maintenance unit (BMU) infrastructure. Once attached to the pre-existing window cleaning basket, the system is ready for operation. The robotic arm and LiDAR camera are placed on top of the table. Skyline Robotics’ operations manager has been working on the Ozmo project for five years using technology and programming to simulate human movements in window washing.
Ozmo, a window cleaning device created by Skyline, uses software-based AI and a waterproof version of a KUKA Robotics KR AGILUS industrial robot to create efficient cleaning paths. The technology uses force-torque sensors at the end of the cleaning brush for touch and LiDAR cameras for sight. The robot’s movements are adjusted by the software, which also automates Ozmo’s fall down the side of a building at a rate of 200 times per second. To regulate the robot’s pressure on the glass, Skyline created an algorithm to control the force and other factors. The robot has a reach of 1.1 metres. Skyline chose KUKA over most other brands because of its reputation, its elite staff and its ability to handle outdoor conditions.
The Skyline robots’ six-axis mobility, essential for complicated façade geometries, is reliable and IP65 certified. The KUKA KR C5 microcontroller, which can weigh up to 35 pounds and takes up less space, complies with international basket weight restrictions. Skyline can do this even with reduced weight restrictions to fit several arms in one basket. Blum believes that KUKA is the ideal partner in the field of automation, as they are keen to apply robotics in new ways.
Ozmo is an advanced robot that allows Skyline to quickly manipulate and adjust the robot’s movements, while balancing the system’s basket/platform. Ozmo uses intelligent sensors and algorithms to adapt to different conditions and terrains, making it ideal for construction, maintenance and rescue work. Unforeseen factors such as wind gusts or crane breakdowns make this difficult. Ozmo’s ability to process these factors and make adjustments quickly ensures the most efficient descent path and high quality cleaning. Ozmo uses the KUKA robotic arm to stabilise the basket, which maintains contact with the building window for an extra half second to prevent jolting. The first robotics company to use the robot arm in this way successfully is Skyline.
Michael Brown, President and CEO of Skyline Robotics, stresses the difficulty and arithmetic requirements of automated window cleaning, especially in AI and machine learning. To develop its system and ensure it has the essential algorithms for all factors, the company has worked for years with window cleaners. Brown stresses the value of partnerships like KUKA’s in creating Ozmo. Brown and KUKA want to meet again once the proof-of-concept phase is complete to discuss further developments and collaborations.
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