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As organizations deploy more robots, a new problem emerges: each machine can come with its own controls, software and mission-planning tools. An operator working with aerial drones and ground robots may therefore need to switch between separate interfaces and workflows, complicating training and making cooperation between different platforms more difficult.
Israeli robotics company XTEND is extending its XOS operating system to address that problem across different types of machines. The company has delivered its first XOS-powered AtlasROVER ground robot to a customer in the Asia-Pacific region, bringing software previously associated with aerial systems into the ground domain.
The system is designed as a hardware-agnostic software layer, meaning it is not tied to one particular robot. Individual platforms retain their own motors, sensors and physical capabilities, while the operating system provides common tools for AI, mission applications and human control.
The idea is similar to using one underlying software environment across different pieces of hardware. Instead of developing an entirely separate control ecosystem for every new robot, developers can integrate platform-specific capabilities into the system while operators continue working through familiar interfaces and procedures.
According to Interesting Engineering, the robot is designed for operations in challenging environments and can carry different mission-specific payloads. The company has not disclosed the customer’s identity, the number of robots delivered or the particular mission for which this first system will be used.
The more significant element is therefore the software integration itself. The robot can now operate within the same broader ecosystem as system-enabled aerial robots, opening the possibility of different machines sharing mission tools and operator workflows.
For defense and homeland-security operations, that could become useful when several robotic systems are deployed simultaneously. An aerial drone might provide reconnaissance from above while a ground robot approaches a suspicious object, enters a hazardous structure or carries equipment through terrain that would expose personnel. A shared software architecture could reduce the need for separate control environments for each platform.
The company describes the system as supporting human-guided autonomy, where AI handles parts of navigation or mission execution while people remain involved in important decisions. A common architecture could also make it easier to introduce new AI functions across several platforms rather than developing them separately for each robot.
The robot deployment follows the company’s acquisition of Latvia-based Atlas earlier this year and represents an early step in extending system into ground robotics.
The company’s longer-term ambition is to take the same approach further, eventually supporting robotic systems operating in the air, on land and at sea.
As autonomous platforms multiply, that software layer could become increasingly important. The challenge may no longer be simply building a better drone or ground robot, but giving operators one environment in which very different machines can work as parts of the same robotic team.
