Robai

Summary

About

About Robai

Robot Academy begins by creating a digital body model from a robot’s geometry, joints and movement limits. That representation is used to generate a simulation environment and a control policy adapted to the specific hardware, reducing the amount of manually engineered control logic required when a manufacturer changes the body or actuator arrangement.

Reinforcement-learning optimisation trains motion within simulation before the policy is transferred to the physical machine and refined against operating data. Robai positions the system for robot manufacturers and development teams working across heterogeneous platforms, with 3D scanning and automated body-schema generation used to shorten the setup process.

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Articles

Funding

Investors

  • Korea Investment Accelerator - Participant - Unknown - 1 funding event - first seen 2026-07-28

Team

  • Aaron Wonyoung Jeong - Founder & CEO - Leads Robai and its Robot Academy control platform.
  • Kyle Jeongwu Song - CAIO - Leads AI research at Robai.
  • Hayden Seunghyuk Lee - CIO - Leads AI infrastructure at Robai.

Timeline

Events

Relations

Relationships

  • LinkerBot

    Technology Partner - LinkerBot and Robai signed an MoU for planned Robot Academy validation on three LinkerBot platforms.