Real 3D Gym Beta 

A simulation space that feels like the real


Sequor scans the environment you need and delivers a photorealistic simulation space.
Test your robots and push their learning performance in a space that mirrors reality.

Who it is for

Real 3D Gym was built for customers like these.

Teams that want to build simulation environments closer to the real world

Robot development teams looking to reduce field testing costs

Research teams that need a test environment for Navigation and Manipulation

Teams that need robot learning data

Teams looking to adopt simulation tools

Teams looking to close the Real-to-Sim Gap

Problem

Robot teams need simulation — but building training environments
that reflect the real world is still expensive and slow.

High Setup Costs

Costs of building digital twins, 3D environments,
and purchasing 3D assets

Time Loss

Time spent communicating with external teams

Poor Learning Performance

Lack of real-world detail like road surfaces and steps

High Entry Barrier

Existing simulation tools are difficult and complex to use

Available in Beta

Simulation Environment Creation

Scan any space with an RGB camera and generate
a 3D environment ready for robot training.

Sensor Modules

We analyze commonly used robot sensors — including
Livox Mid-360 and RealSense — and provide them as
plugins ready to use in simulation.

How it works

Step 1.
제작하고 싶은 환경을 알려주세요.

세코어가 고객사의 의뢰 장소를 카메라로 촬영합니다.

Step 2.
3D 재구성 및 후처리가 진행됩니다.

세코어가 얻은 환경을 통해 3D Reconstruction과 Mesh 생성을 진행합니다.

Step 3.
World File을 수령하세요.

고객사에게 Isaac Sim과 호환되는 World File(USD 파일, Gaussian Splat 파일, Mesh 파일)을 전달합니다.

Step 4.
학습을 진행하세요.

세코어의 World File은 Isaac Sim과 연동됩니다. Isaac Sim을 활용하는데 어려움이 있다면 언제든 연락하세요!

What Makes Real 3D Gym Beta Different

Outstanding Visual
Quality & Collision Mesh

Realistic Sensor Data

Robot-Ready Simulation

Coming Soon

Object Separation

Separates objects within the captured environment into individual assets for robotic interaction.

Lighting Condition Adaptation

Naturally reflects changes in shadows and lighting caused by camera angles, object positions, and lighting conditions.

Advanced Domain Randomization

Runs thousands of scenarios in parallel by varying environmental factors such as obstacle layouts and unexpected situations.

Reinforcement Learning Support

Supports various reinforcement learning algorithms and provides UI tools for monitoring learning performance.

What You Gain

Make simulation easier to adopt and deploy.

⏱️

Reduced Development Time

💰

Lower Operational Costs

👥

Improved Team Productivity

🔁

Faster Test
Iteration

Start simulation-based testing evenbefore hardware setup is complete.

Reduce costs associated with repetitive field testing, outsourcing, and QA/QC processes.

Robot development, simulation, and field operation teams can collaborate seamlessly on a single integrated platform.

Quickly modify and validate a wide range of environments and scenarios.

Beta Program

Real 3D Gym is currently available to beta partners only.
If you're interested in building a robot training environment based on real spaces, please reach out through
the Contact page.