As part of a NASA project, Lviv-based IT company SoftServe, together with its American colleagues, will develop technologies for the construction of landing sites on the Moon.
This was announced by SoftServe, Ukrinform reports.
“As part of a NASA project, we will develop technology for construction on the Moon together with the American company Astroport Space Technologies,” the statement said.
This is a solution for the construction of landing sites in extreme conditions, which will help ensure a landing on the moon. The project will involve the Robotics & Advanced Automation team from SoftServe.
“We will create models for terra mechanical interaction between equipment, construction machinery and lunar soil, regolith. Our work will involve creating a large number of digital simulations of the construction process on the Moon, taking into account the peculiarities of the soil and various situations,” Head of Robotics at SoftServe Liubomyr Demkiv said.
The project was launched after the American company Astroport Space Technologies won a $1.3 million grant from NASA STTR 2023 Phase II. This is an annual funding program in which businesses, startups, and scientific institutions come together to solve specific cases and problems of interest to NASA research. The technological solutions and results of the programs have a chance to be used by the agency’s researchers or commercialized at the next stages.
SoftServe is the largest global IT company with Ukrainian roots, operating in the field of software development and consulting services. More than 12,000 employees work in more than 50 offices located from San Francisco to Singapore. The company’s headquarters are in Lviv (Ukraine) and Austin (USA).
As Ukrinform reported, last year a team of engineers from Lviv-based SoftServe won the challenge at the annual NATO hackathon. The Lviv engineers analyzed in detail the advantages and disadvantages of NATO’s CWIX multinational exercise, which tests how allied IT systems will interact in combat conditions. They formed performance indicators, further developed recommendations to improve the CWIX performance and proposed solutions to quickly identify and eliminate gaps that hinder the success of the exercise.