Robot Motion Simulation

Find the optimal solution on a digital twin before moving the actual machinery

Challenges

Do you face these challenges?

We Are Considering Robot Adoption, but Cannot Read the Real-Environment Impact and Cannot Make an Investment Decision
We Are Anxious About Ensuring the Safety of Collaborative Robots and Humans
Each Time the Layout Changes, the Cost and Time of Re-Validating on Actual Machinery Arise
There Is No Talent In-House Capable of Handling Simulation Technology
We Have a Past Experience of Failed Robot Adoption and Are Being Cautious

At many companies, on-site manuals and operational workflows are managed as "separate systems." Manuals are stored in PDFs or on file servers, while operational workflows (approvals, reports, handovers) are run via email, chat, or paper ledgers. This fragmentation produces missed procedures, opaque progress, and the burden of duplicate entry.

In the context of DX promotion, more companies are systematizing their operational workflows, but in most cases the "manual's procedures" and the "workflow's steps" are not linked. As a result, waste arises in the form of re-entering procedures written in the manual into the system, and voices from the field call out the formality of it all. By integrating manual and workflow, "complying with the procedure" and "advancing the operation" must be made the same action.

Expert insight

“enableX does not stop at simulation — based on the results, we provide end-to-end support through to actual deployment and operational embedding.”

中村陽二

取締役

Our Professionals

村山慶伍

DeepTech Director

芥切碩志

DeepTech Manager

中村陽二

取締役

小村淳己

DeepTech Executive Director

大﨑雄太

BizDev Director

Let's talk in detail

Our expert team will provide tailored proposals

ソリューションに関するご相談

担当者がご対応いたします

Key Features

On-Site 3D Digital Twin Build-Out

From 3D scans, CAD data, and equipment specifications, we faithfully reproduce the on-site environment in virtual space. We build an integrated model that includes existing equipment placement, conveyance routes, and worker movement lines.

Robot Motion Simulation

We support model data from various robot manufacturers, and execute teaching, path planning, and cycle-time calculation on the digital twin.

Human × Robot Collaboration Scenario Validation

We simulate worker movement-line models and robot motion simultaneously, and automatically validate interference risks, safety distances, and emergency-stop scenarios.

Layout Optimization AI

AI automatically generates multiple layout patterns and compares them. We propose the layout that optimally balances movement-line efficiency, safety, and productivity.

Why Choose Us

A Digital Twin That Faithfully Reproduces the Real Environment

We reproduce the on-site environment with high precision based on 3D scanning and design data. We build a simulation space that is faithful to the real environment — including equipment placement, worker movement lines, and conveyance routes.

Safety Validation for Human × Robot Collaboration

Rather than the robot alone, we simulate scenarios of collaborative work with humans. We comprehensively validate safety in advance — including contact risks, movement-line interference, and behavior in emergency stops.

Providing Investment Decision Material Before Adoption

From the simulation results, we quantitatively calculate cycle time, throughput, and ROI. We move past the "we won't know until we try it" state and provide the data that lets senior management make investment decisions with evidence.