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North

North

North

Last updated: September 30, 2026
Locomotion Type
Wheeled
Stage
Demo
Height
160 cm
Degrees of Freedom
67 DOF
Hand DOF
22 DOF
Weight
90 kg
Max Speed
6 km/h
Dual-Arm Payload
12 kg
Battery Life
8 h
Release Year
2026
Computing
NVIDIA Jetson Thor,Described as running on a proprietary neural-network model together with advanced kinematics and dynamics optimisation, plus CraftNet, the hierarchical VTLA model whose System 0 provides real-time tactile-based grasp control
Sensors
Perception for vision-language input and contact-rich manipulation, with tactile sensing provided by the SharpaWave hands; the company cites real-time visual tracking, hand-eye coordination and dynamic full-body control in its demonstrations

North is Sharpa's first full-body robot and the platform the company puts forward as proof that its manipulation-first thesis works in public. It is a 67-degree-of-freedom full-body humanoid built to run shifts autonomously in service and industrial environments, handling long-horizon work that needs bimanual coordination, strength and precision at once. Its public debut was CES 2026, where it ran fully autonomous manipulation for four consecutive days at eight hours a day with no scripts and no human intervention - every rally, assembly and card-dealing sequence live from start to finish. Four demonstrations stand out: continuous ping-pong rallies with a hand response under 0.02 seconds, showing real-time visual tracking and dynamic full-body control; a 30-plus step paper windmill assembly, described as one of the longest continuous manipulation sequences ever demonstrated in public, working with flexible and thin components and adapting mid-task; picking up a camera and shooting photos with about 2 mm finger positioning precision; and dealing a single card out of a full deck from vision-language input, separating and grasping it from the stack. North is enabled by a proprietary neural network, advanced kinematics and dynamics optimisation, and SharpaWave, the company's mass-produced 22-DoF hand. Beyond the show floor it worked a full shift behind the counter of a Dairy Queen store in Shanghai, serving real customers with the store's existing equipment, ingredients and process unmodified. Its target industries are service - hotels, retail and food and beverage - manufacturing and assembly such as screwing, clipping and fastening, and research and development.

Application Scenarios

Service industry across hotels, retail and food and beverage; manufacturing and assembly tasks such as screwing, clipping and fastening that rigid industrial robots cannot automate; research and development for collecting manipulation data and deploying new AI policies

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