Apptronik

Apptronik is an Austin, Texas–based humanoid robotics company spun out of the Human Centered Robotics Lab at the University of Texas at Austin (founded in 2016). Before launching a flagship humanoid, the team built a wide range of systems - exoskeleton concepts, mobility platforms, and hardware programs connected to NASA’s Valkyrie - building up the actuator, mechatronics, and “robot-in-human-spaces” know-how that now underpins its commercial push.

It's main humanoid robot is Apollo, introduced as a bipedal, general-purpose platform aimed first at warehousing and manufacturing tasks - work like moving items, kitting/lineside delivery, and other repetitive “intralogistics” activities that occur in facilities designed for people.

“Currently available” in practice means pilot and early commercial agreements rather than broad off-the-shelf sales: Apptronik has a commercial agreement with Mercedes-Benz to test Apollo in manufacturing logistics (e.g., delivering assembly kits and inspecting components).

It also partnered with GXO Logistics on a multi-phase warehouse R&D initiative to validate Apollo in real logistics environments.

In 2025, Apptronik announced a collaboration with Jabil to both pilot Apollo in a factory (inspection, sorting, kitting, sub-assembly) and help scale manufacturing of the robots themselves.

Looking ahead, Apptronik’s “future robots” are essentially next Apollo iterations at scale: higher reliability, more tasks learned faster (helped by AI partnerships), and expansion beyond factories into areas the company has cited such as healthcare and elder care.

As of 2026, the company has strong market credibility, major funding, and commercial relationships in industrial automation. For UK and EU buyers, Apptronik should be assessed as a high-priority industrial humanoid option, particularly for logistics, material movement, manufacturing support and future labour-assistance use cases. TRG can help evaluate availability, partner route, deployment readiness and whether Apollo fits the intended operational environment.
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