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M1

M1

M1

Last updated: October 8, 2026
Locomotion Type
Hybrid
Stage
Pilot Delivery
Height
49.4 cm
Degrees of Freedom
20 DOF
Weight
2.8 kg
Max Speed
2.16 km/h
Battery Life
2 h
Price
$2,477
Release Year
2025
Sensors
LDS LiDAR for whole-home mapping; iToF depth sensor for small household obstacles; vision camera for recognition and obstacle avoidance; IMU for posture and motion tracking; three-microphone circular array with up to 16 ft pickup range

M1 is Zeroth's compact home embodied-AI robot, sold as one of the first robots designed specifically for the home rather than adapted from an industrial platform. Its distinguishing feature is that it does not choose between legs and wheels: it walks in bipedal mode at 0.05 m/s and rolls in wheeled mode at 0.6 m/s with autonomous following, so it can move carefully in tight domestic spaces and cover ground quickly when it needs to. It stands 49.4 cm and weighs 2.8 kg as a body, with a separate mobile base and charging dock. Sensing is built around the home: an LDS LiDAR maps the whole house, an iToF depth sensor catches the small obstacles a home is full of, a vision camera handles recognition and avoidance, an IMU tracks posture and motion, and a three-microphone circular array picks up speech from up to 16 feet away. It runs about two hours and fast-charges to 80 per cent in an hour. It speaks multiple languages in continuous conversation and can be controlled by voice or from a phone app. Its published roles span three settings: home safety, with gentle fall detection, mobile safety checks, daily assistance, alerts and anti-fraud features covering elderly people, children and pets; the outdoors, with independent travel safety, natural-scene interactive learning and real-time pet monitoring; and the laboratory, where 20 degrees of freedom, a multilingual open programming platform, VR integration and reinforcement-learning tools let developers build their own applications. The company frames it not as a tool or a screen but as a living carrier of embodied intelligence, built to support a lifestyle rather than to replace anyone in it.

Application Scenarios

Home safety and companionship covering elderly people, children and pets, including gentle fall detection, mobile safety checks, daily assistance, alerts and anti-fraud features; outdoor independent travel safety, natural-scene interactive learning and real-time pet behaviour monitoring; research and development through a 20 DoF motion platform, a multilingual open programming platform, VR integration and reinforcement-learning tools.

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