AlphaBot 2 by AI² Robotics vs Green by Sberbank

The two robots take different approaches to the body. AlphaBot 2 puts a humanoid upper body on a wheeled base, while Green is a full bipedal humanoid at 180 cm and 75 kg. Green has 41 degrees of freedom, including 12 in the fingers and 4 in the wrists; AlphaBot 2 has 34 or more.

AlphaBot 2 moves on wheels, which suits flat factory and lab floors. Green walks, with a top speed of 0.9 m/s listed by Sber, and it can orient itself in unfamiliar indoor spaces and steer around obstacles using its cameras and LiDARs.

Green uses eight RGB cameras and two LiDARs, plus inertial sensors and force-torque sensors in its fingertips. AlphaBot 2 combines a 360-degree multi-camera setup and stereo cameras with force feedback sensors, a microphone array and proximity sensors. Both are equipped for close-range manipulation; AlphaBot 2 has the wider camera coverage.

Both robots use vision-language-action models. AlphaBot 2's GOVLA model runs on the AlphaBrain platform with a fast-and-slow architecture for multi-step tasks. Green pairs Sber's GigaChat for conversation with Green-VLA, a model of about 1.3 billion parameters released with open weights, and it can detect and correct its own mistakes.

AlphaBot 2 has a published runtime of more than six hours of continuous work. Sber has said only that Green runs on a 48 V battery, without runtime or charging figures. For long shifts, AlphaBot 2 is the better-documented option.

AlphaBot 2 is shown in demanding real tasks: cooking, sterile filling, packing, quality inspection, car assembly and biotech lab work. Green targets collecting items and stocking shelves, assembling and packing products, handling test tubes and bio samples, and room service and cleaning. Both suit labs and light manufacturing; AlphaBot 2 has more published task demos.

AlphaBot 2's software is the AlphaBrain platform and its GOVLA model. Green's is Sber's GigaChat plus the open-weight Green-VLA model, and Sber's Green Challenge lets outside teams train controllers in a simulator of the robot. Sber has not announced a public SDK.

Green relies on inertial and force sensors for balance and precise movement, avoids obstacles and can catch its own errors; Sber has not published safety certifications. AlphaBot 2 uses force feedback and proximity sensing during manipulation. Request certification details from both makers before working either robot near staff.