ManmaruAI

Physical AI Workforce

Automate light factory workwith AI robots

Designed and assembled in-house by ManmaruAI, our AI robot automates the packing, boxing, inspection, and labeling work that factories still rely on.

01 / Overview

For light work that never justified dedicated automation

ManmaruAI designs and assembles the robot in-house. We target processes where frequent product and procedure changes made fixed automation uneconomical. A VLA model learns from demonstrations, while a low-center-of-gravity wheeled base and dual arms are designed for deployment across multiple processes.

Does this sound like your line?

01

Night shifts are hard to staff

Essential repetitive work limits operating hours because people are difficult to recruit.

02

Products change frequently

Dedicated equipment and repeated teaching do not pay back across changing products and boxes.

03

Full-time employees remain tied to repetitive work

Employees are assigned to inspection, sorting, and packing instead of higher-productivity work such as process improvement and quality enhancement.

02 / Applications

Target light-work tasks

From post-molding inspection and packing to other lightweight, indoor, repetitive work, we assess fit around actual site conditions.

01

Inspection and sorting

Check workpieces by camera and sort them based on the result.

02

Boxing and packing

Automate the sequence from grasping and alignment through placement.

03

Labeling

Apply labels to products or packaging with position checks.

04

In-process picking

Recognize, grasp, and transfer lightweight workpieces between processes.

03 / Approach

Designed for real factory use

Task learning with VLA

Learn from human demonstrations and adapt to site and product variation.

Mobile, low-center-of-gravity base

A wheeled platform designed to move between lines instead of staying fixed.

Safety first

Area-sensor detection, automatic stops, and signal lights indicate operating status.

Payload per arm
1.5kg
Designed for light packing, inspection, and labeling work.
Repeatability
±0.2mm
Stable positioning for inspection and packing.
Arm configuration
Dual
One unit for grasping, inspection, and packing.

Robot demonstration

Interactive 3D model

Drag to rotate the robot

04 / Process

Deployment process

We validate one process at a time, from real samples to on-site operation.

  1. 01

    Process review

    Review the workpiece, takt time, movement, safety conditions, and pass criteria.

  2. 02

    Sample validation

    Test recognition, grasping, and judgment with real workpieces.

  3. 03

    PoC design

    Design the robot, fixtures, cameras, learning data, and recovery flow.

  4. 04

    On-site deployment

    Validate operation on site and improve it with accumulated data.

05 / FAQ

Frequently asked questions

What kinds of work are a fit?

Indoor, repetitive work with lightweight objects is the main target. We review payload, takt time, floor, and safety conditions.

Does the existing line need major modification?

We start by using existing equipment. Fixtures and safety measures are defined around site conditions during the PoC.

What should we prepare for an initial consultation?

A process video, workpiece photos or samples, takt time, and work instructions help us assess fit quickly.

Physical AI Workforce

Let us review the light workstill done by hand

A short process video or a few photos are enough to start the conversation.
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