KORTHOS / ECOSYSTEM / PRODUCT

Maker H01

About

About Maker H01

Maker H01 is GigaAI's wheeled dual-arm robot for embodied-intelligence development in homes, commercial services and light industry. Its approximately 1.6-metre body combines more than twenty degrees of freedom with multiple sensors for manipulation and compliant movement. A mobile base allows the upper body to move between task locations while the arms work with objects at human-scale heights.

GigaBrain provides the platform's end-to-end decision and control system, linking perception and navigation with longer manipulation sequences. GigaWorld contributes simulation and data tools used in the broader development loop. GigaAI combines hardware design, demonstration collection and model training to develop behaviours across tasks and environments. Maker H01 is the physical platform through which those models and tools are developed for household, service and light-industrial applications.

Capabilities

Source-backed capabilities

  • Operating environments: Physical tabletop research evaluation
  • Control modes: Autonomous, Human In The Loop
  • Pretrained-policy grape placement

    Research demonstration - 2026-08-16 - Select grapes and place them in the requested container without task-specific adaptation. - environment: Physical tabletop research evaluation

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  • Pretrained-policy garment folding

    Research demonstration - 2026-08-16 - Reorganize and fold an unseen garment from an unstructured starting shape. - environment: Physical tabletop research evaluation

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  • Language-selected button pressing

    Research demonstration - 2026-08-16 - Press the language-specified colored button in a tabletop evaluation. - environment: Physical tabletop research evaluation

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  • Language-selected fork placement

    Research demonstration - 2026-08-16 - Pick up the requested fork, including a fork specified relative to a plate, and place it in a basket. - environment: Physical tabletop research evaluation

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  • Post-trained play-dough kneading

    Research demonstration - 2026-08-16 - Knead play-dough during a physical task-specific evaluation. - environment: Physical tabletop research evaluation

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  • Post-trained cube sorting

    Research demonstration - 2026-08-16 - Sort cubes through repeated object selection and placement. - environment: Physical tabletop research evaluation

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  • Post-trained household-item organization

    Research demonstration - 2026-08-16 - Select, grasp and place household items into organized workspace areas. - environment: Physical tabletop research evaluation

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  • Bearing installation with experience refinement

    Research demonstration - 2026-08-16 - Retrieve a workpiece, bring it to an assembly station, align and install a bearing, then return the assembled workpiece. - environment: Physical tabletop research evaluation

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Research

  • GigaBrain-0.7: Scaling Embodied Foundation Models to Emergent Capabilities with a Three-System Architecture

    2026-08-16 - Research Publication - GigaBrain-0.7 combines action control, understanding and planning, and world-model prediction in a three-system embodied model. GigaAI reports training on over 37,000 hours of heterogeneous data and physical evaluation on Maker H01 and AgileX PiPER-family manipulators.

    Source

Context

Market context

Wheeled humanoid mobile manipulator from GigaAI designed for industrial, service, and research deployments.

  • Target environment: Factories, service environments, research settings and structured indoor sites where wheeled mobile manipulation is practical.
  • Workflow context: Dual-arm manipulation, autonomous navigation, multimodal perception, lidar-based mapping and embodied AI development.
  • Customer context: Industrial partners, research labs, service operators and developers evaluating perception-heavy mobile manipulation.
  • Deployment model: Prototype mobile manipulator tied to GigaAI's computer-vision and world-model capabilities.
  • Commercial maturity: Prototype-stage platform with public product page and technical positioning.
  • Adoption constraints: Adoption depends on manipulation reliability, perception quality, navigation safety, software maturity and site-specific task fit.
  • Market position: Vision-led mobile-manipulation lane that uses wheeled mobility instead of bipedal humanoid locomotion.
  • Adjacent products: Kinisi 01, Quanta X2, AgileX Cobot Magic, Toyota HSR

Comparable Systems

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