
REDWOOD CITY, Calif., Sept. 29, 2026 /PRNewswire/ -- Today, DYNA Robotics launched the DYNA 2.1 physical agent, a semi-humanoid robot powered by DYNA's proprietary model that can autonomously complete entire physical workflows – like a commercial laundry shift – without human intervention, performing tasks that demand both physical dexterity and complex reasoning. DYNA 2.1 is being deployed in hotels, laundromats, and restaurants.
DYNA's proprietary semi-humanoid hardware consists of an upper torso with two arms that are compatible with parallel-jaw grippers or dextrous hands to reach and manipulate objects, and four steerable wheels so it can easily move around without risk of toppling over.
To successfully manage continuous, hours-long shifts, the robot is powered by a vision-language orchestrator that reasons through complex workflows and a whole-body controller that coordinates driving, reaching, bending, and lifting into one fluid action. It is underpinned by DYNA's proprietary world action model DYNA 2, trained on a million hours of human and robot data to handle physical skills and steerability.
"Our goal is to make general purpose robots commercially viable for real-world scenarios," said Lindon Gao, co-founder and CEO of Dyna Robotics. "Our customers need robots that complete an entire workflow for a full shift – without human babysitters – not just specific tasks."
Autonomously completing a commercial laundry shift
The DYNA 2.1 physical agent is capable of managing an entire commercial workflow end-to-end such as food preparation, data center management, and commercial laundry.
For example, in a commercial laundry setting, DYNA 2.1 can complete an entire shift, including:
- Loading the washer and dryer, as well as actively turning the machines on.
- Bending to reach the very back of a dryer to unload bulk towels into a basket.
- Snapping towels flat, folding them, and organizing them into specific stacks by size.
- Crouching to place finished stacks on bottom shelves or reaching up to place them on top shelves.
- Autonomously correcting physical errors – such as picking up a dropped towel from the floor or abandoning a bad grasp to try again – without requesting human help.
DYNA 2.1 is optimized for Mean Time Between Interventions (MTBI), or how long the machine operates before a human must step in to assist. The physical agent captures execution data as it operates – from the reasoner's decision traces to the controller's joint loads. This data feeds back into the system, creating a continuous improvement loop designed to steadily increase the minutes of work achieved per intervention.
"This is a far more useful benchmark than per-episode success rates on isolated tasks, which is widely used today but fails to reflect true commercial viability," said co-founder Jason Ma. "Continuous real-world shifts require thousands of sequential steps, which is why we measure MTBI to ensure our robots are commercially viable and can operate without human babysitters."
About Dyna Robotics
Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Dyna Robotics was founded by repeat founders Lindon Gao and York Yang, who sold Caper AI for $350 million, and former DeepMind research scientist Jason Ma. The company is backed by top investors, including CRV and First Round. Learn more at dyna.co.
SOURCE DYNA Robotics
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