• Ukraine's ground robots are carrying grenade launchers into dangerous areas.
• The robots bring short-range firepower closer to Russian troops without exposing Ukrainian soldiers.
• A brigade said operators tens of kilometers away used armed robots to pulverize Russian positions.

Ukraine is mounting grenade launchers on ground robots, allowing its forces to bring useful firepower closer to Russian troops without sending in soldiers to pull the trigger.

Grenades have long been important in Ukraine's fight against Russia's invasion, particularly in close-quarters trench combat, but the battlefield is changing.

Troops increasingly fight in smaller force concentrations from scattered defensive positions rather than heavily manned continuous trench networks. Meanwhile, the growing "kill zone, which is swarming with drones, makes it harder for troops to approach these front-line positions. While infantry remains critically important, drones and robots are bridging the gap and taking over more and more missions, from logistics to medevac to assault.

Defense manufacturers told Business Insider that grenade launchers are increasingly being mounted on uncrewed ground vehicles, or UGVs, allowing soldiers to strike Russian positions from a safer distance.

Oleg Fedoryshyn, the director of R&D for the Ukrainian robotic and defense company DevDroid, told Business Insider that grenade launchers are useful because soldiers "don't need to see the enemy to hit him."

A soldier in hiding is easier to hit with a grenade launcher than, say, a machine gun, which is a line-of-sight weapon.

Now, soldiers can mount them on ground robots so that they don't have to put themselves in harm's way. A soldier-carried grenade launcher might have a range of a few hundred meters, but using a robot, an operator can be tens of kilometers away.

DevDroid's TW-40 ground robotic system has a range of 70 kilometers on paved roads and up to 50 kilometers off-road, making it effective in the kill zone. And the mounted grenade launcher has a reach of 1.5 kilometers.

Ukraine has been using soldier-carried and truck-mounted grenade launchers since before Russia began its full-scale invasion in February 2022. The robots deliver similar firepower without risking human lives.

Ukraine's Third Army Corps, for example, said in September that it used grenade launchers on robots to "dismantle enemy positions" in its Operation Vivaldi, characterizing it as "a new tactic."

"Equipped with dual Bullspike grenade launchers, the UGVs attacked Russian positions before detonating directly inside the enemy's shelters. The occupiers believed they were under assault by an entire assault squad; in reality, they were being pulverized by the Third Assault Brigade's robots," the brigade wrote on Telegram.

It said that robots were able to strike, put psychological pressure on Russian forces, and clear the position "all without putting our infantry at risk."

"This is a tactic never before seen in the history of warfare. The robots were controlled by operators from a secure shelter located tens of kilometers away from the front line."

Robots armed with grenade launchers are another example of how this war is blending elements of old warfare with new, advanced technologies. In this war, it's not uncommon to see drones dropping grenades or electronic warfare sharing the battlefield with artillery.

In addition to grenade launchers, robots can also fire other weapons, such as RPGs and American-made M2 Browning machine guns.

DevDroid's goal with its systems is "to change all roles that we can change to save people's lives," Fedoryshyn said.

That goal is shared by Ukraine's soldiers, defense industry, and leadership. Oleksandr Yabchanka, the head of the robotic systems for Ukraine's Da Vinci Wolves Battalion, told Business Insider that Ukraine is constantly working to increase the distance between troops and the fighting.

"Our philosophy is, above all, to preserve our personnel," he explained. "We strive to position our fighters as far as possible from the line of contact and the zones of highest risk — the so-called 'kill zones.'"

Other manufacturers say they're seeing a shift in how soldiers use armed robots in combat.

Defense firm Frontline Robotics makes the Buria autonomous remote weapon station, which allows soldiers to fire grenade launchers and other weapons remotely. Early last year, Ukrainian forces were hiding them in prepared locations to stop Russian advances.

"But right now, everything has changed," Mykyta Rozhkov, chief business development officer, told Business Insider, pointing to the growing drone saturation on the battlefield.

Now, it's being mounted on UGVs, creating small tanks that can advance toward Russian positions without exposing troops.

DevDroid's Fedoryshyn said robots armed with grenade launchers are most effective when paired with robots carrying machine guns and aerial drones that can spot targets and direct fire.

Robots can be used to transport gear, evacuate the wounded, blow up enemy positions, lay mines, and fire various types of weaponry. Their use has increased dramatically. Ukraine's defense ministry said in June that it had contracted over 22,000 uncrewed ground vehicles so far in 2026, nearly twice as many as all of the previous year.

The Da Vinci Wolves' Yabchanka said that he sees that "many units have begun employing UGVs. This usage has already become widespread. Ground-based robotic systems are becoming an integral part of combat operations for most units deployed along the line of contact."

As UGV use grows, Rozhkov said that Frontline Robotics' goal is to "provide different robotic solutions to get people outside the danger zone. So just to keep the line with the robots."

• Machenta raised $40 million in seed funding led by Creandum and Union Square Ventures.
• It says robots can learn tasks from one demo using a model trained entirely in simulation.
• The startup remains focused on research as it takes on multibillion-dollar rivals.

A London-based robotics startup is betting it can teach robots new tricks without collecting the mountains of real-world data its much bigger rivals are chasing.

Machenta, founded by researchers from Imperial College London, has raised a $40 million seed round to build an AI model that can teach robots new physical tasks after seeing them performed just once, the company exclusively told Business Insider. Venture capital firms Creandum and Union Square Ventures co-led the round. Machenta declined to disclose its valuation.

While rivals building general-purpose AI models for robots are scrambling to amass real-world data, Machenta is taking a contrarian approach. Edward Johns, the startup's CEO and cofounder, and an Imperial professor, said the company trains its model in computer-generated environments that mimic how objects move and interact, without using a "single pixel of real-world data."

Once trained, the model can direct a robot to perform a new task, such as tidying a table or putting objects into a box, after watching it done just once, without further training, Johns said. In a video shared with Business Insider, three robots pack and close a box on an assembly line, a task Johns said they learned this way.

The startup has 11 employees and remains focused on research, with no near-term plans to commercialize its technology. Its model can learn some tasks immediately, but more precise tasks and complex movements remain challenging.

Machenta faces rivals with multibillion-dollar valuations in one of robotics' most competitive and well-funded fields. Its California-based competitors include Physical Intelligence, valued at roughly $11 billion, and FieldAI, which is raising funding at a $10 billion valuation, Business Insider reported this month.

Another rival, Skild AI, which is valued at over $14 billion, is already selling technology with similar capabilities. In August, Skild unveiled a model that it said could perform previously unseen tasks lasting up to 10 minutes after a single video demonstration. Last month, it said that it had reached $100 million in annual recurring revenue from more than 60 customers.

From research lab to startup

Six years ago, Johns began investigating whether robots could learn new physical tasks as quickly as humans at his Imperial College lab.

In the lab's early experiments, researchers physically guided a robot through a task, such as picking up a spatula and scooping an object. The robot then spent about 30 minutes collecting additional data about the object and its surroundings before it could perform the task on its own.

Johns and former Ph.D. student Vitalis Vosylius spent the next few years working to eliminate that extra step, founding Machenta late last year after seeing early signs that their model could perform new tasks immediately after a demonstration.

Companies are increasingly buying and collecting data to teach robots how to interact with the real world. But Johns believes simply collecting more data isn't the answer. It also remains unclear how much training data will be needed to make general-purpose robots a reality. Johns said that Machenta is taking on the harder challenge of designing algorithms that can generate synthetic data useful for teaching robots physical tasks.

Machenta plans to use the funding to expand its team and train its model with more computing power and simulated data, hoping to teach robots to perform more precise and complex tasks.

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