ManmaruAI

Dual-Arm Mobile AI Robot

Automate light workwith AI robots

The robot learns movements from human operation data and camera images, combining continuous dual-arm work and omnidirectional movement in one unit.

01 / Overview

Dual-arm work and omnidirectional movement in one unit

AI learns the target movement from operator controls and camera images. The robot reproduces continuous two-arm work that is difficult to configure with conventional teaching, while four-wheel independent steering and drive let it approach equipment flexibly from any direction.

Three key features

01

Coordinated dual arms

One arm supports the object while the other grasps and transfers it. Both arms work together through a continuous task.

02

AI-based motion learning

Human controls and camera images become learning data, reducing the need to teach every fine movement one at a time.

03

Omnidirectional movement

Each of the four wheels is independently steered and driven, combining forward, sideways, and rotational movement to approach equipment flexibly.

02 / Applications

Example tasks

We assess the application around the object and equipment conditions. The following are example tasks.

01

Packing and sorting

Assess a sequence that grasps, transports, and places objects at designated positions.

02

Inspection

Assess inspection processes that include grasping and transferring objects.

03

Assembly assistance

Assess tasks where both arms coordinate to support, grasp, and place parts.

04

Machine loading and unloading

Approach equipment and assess tasks that grasp objects for loading and unloading.

03 / Approach

Example dual-arm sequence

Dual-arm mobile AI robot: Grasp the objectActual robot

Grasp the object

Use both arms to grasp the object in preparation for the next movement.

Dual-arm mobile AI robot: Transport the objectActual robot

Transport the object

Move the grasped object while coordinating both arms.

Dual-arm mobile AI robot: Place at the target positionActual robot

Place at the target position

Place the transported object at the position defined for the task.

Configuration
2 arms
Both arms coordinate through a continuous task.
Degrees of freedom
6+1 per arm
Specification per arm.
Reach
767mm
607mm without a gripper.
Payload
1.5kg per arm
Without a gripper; recommended at 70% reach.
Repeatability
±0.2mm
Specification per arm.
Mobile base
4 independent wheels
Four 3-inch wheels with independent steering and drive.

Arm specifications are per arm. Other specifications are finalized for each deployment and may change with deployment conditions.

Interactive 3D model

Drag to rotate the robot

04 / Process

Deployment process

Record operator controls and camera images, then move from learning the target task to reproducing it on site.

  1. 01

    Show the task

    Record operation data and camera images.

  2. 02

    AI learns

    Learn the movements of the target task.

  3. 03

    The robot performs

    Reproduce the learned movements on site.

05 / FAQ

Frequently asked questions

What kinds of work are a fit?

Example tasks include packing, sorting, inspection, assembly assistance, and machine loading and unloading. We assess the application after reviewing the object and equipment conditions.

How does the robot learn a task?

Human controls and camera images are used as learning data. This reduces the need to configure every fine movement one at a time with conventional teaching.

How are the final specifications determined?

Dimensions, total weight, speed, operating time, safety configuration, and power specifications are finalized for each deployment. Published specifications may also change with deployment conditions.

Dual-Arm Mobile AI Robot

Talk to us about applying the robotto your target process

We assess the application around the object and equipment conditions.
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