DYNA Robotics Launches DYNA 2.1 Semi-Humanoid Robot for Commercial Workflows

DYNA Robotics has launched the DYNA 2.1 physical agent, a semi-humanoid robot powered by the company's proprietary model that can autonomously complete entire physical workflows, such as a commercial laundry shift, without human intervention.

The robot is being deployed in hotels, laundromats, and restaurants. DYNA's proprietary semi-humanoid hardware consists of an upper torso with two arms compatible with parallel-jaw grippers or dextrous hands, and four steerable wheels that allow movement without risk of toppling over.

To manage continuous, hours-long shifts, DYNA 2.1 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. The system is underpinned by DYNA 2, the company's proprietary world action model trained on a million hours of human and robot data.

Lindon Gao, co-founder and CEO of Dyna Robotics, stated:

"Our goal is to make general purpose robots commercially viable for real-world scenarios. Our customers need robots that complete an entire workflow for a full shift – without human babysitters – not just specific tasks."

In a commercial laundry setting, DYNA 2.1 can complete an entire shift including loading the washer and dryer, bending to reach the back of a dryer to unload bulk towels, snapping towels flat and folding them into specific stacks by size, crouching to place finished stacks on bottom shelves or reaching to place them on top shelves, and autonomously correcting physical errors such as picking up a dropped towel or abandoning a bad grasp to try again.

DYNA 2.1 is optimized for Mean Time Between Interventions (MTBI), measuring how long the machine operates before a human must step in. The physical agent captures execution data as it operates, from the reasoner's decision traces to the controller's joint loads, feeding this data back into the system to create a continuous improvement loop.

Jason Ma, co-founder of Dyna Robotics, stated:

"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. 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."

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 investors including CRV and First Round.