Robai, an AI robot control startup, has secured seed funding from Korea Investment Accelerator. The company aims to revolutionize robot control with its AI Self-Exploration technology, enabling robots to autonomously learn their own body structure and movements.
TL;DR
- Robai secures seed funding from Korea Investment Accelerator to advance its AI Self-Exploration technology.
- The company's technology enables robots to autonomously learn their body structure and movements, aiming to standardize the execution layer of robot control.
What happened
Robai, an AI robot control startup, announced that it has secured seed investment from Korea Investment Accelerator. The company did not disclose the investment amount.
Robai's technology, AI Self-Exploration, allows robots to independently explore and learn their joint structures, sensor configurations, movement ranges, and physical constraints. This technology consists of three models: the Robot Action Recognition (RAR) model, the Motor Babbling AI model, and the Body Schema model.
The company is developing a general-purpose robot control platform called Robot Academy, which aims to solve the limitations of conventional development approaches that required redesigning control systems and rebuilding training data whenever robot types or hardware changed.
Why it matters
Robai's technology addresses the gap in the robot industry where high-level behavioral commands generated by Robot Foundation Models (RFMs) still require individual design and repeated tuning of control systems according to each robot's structure and operation method.
The company's strategy is to replace this gap with AI-based general-purpose control software, which could significantly accelerate the expansion of the robot market.
Robai's founding team has accumulated R&D experience in robot AI and control technology, and with this investment, the company will advance its self-exploration technology and proceed with technology verification based on physical robots and expansion of R&D personnel.
Key facts
- Robai secured seed funding from Korea Investment Accelerator.
- The company's AI Self-Exploration technology enables robots to autonomously learn their body structure and movements.
- Robai is developing a general-purpose robot control platform called Robot Academy.
- The technology consists of three models: the Robot Action Recognition (RAR) model, the Motor Babbling AI model, and the Body Schema model.
- Robai aims to standardize the execution layer of robot control, which connects robots and high-level AI.
- The company plans to expand its application scope to service robots, humanoids, and soft robots.
- Robai's founding team has accumulated R&D experience in robot AI and control technology.
- The investment will be used to advance self-exploration technology and expand R&D personnel.
Context
The robot industry has been rapidly developing in recent years, with significant advancements in high-level AI decision-making. However, the execution stage, which involves translating high-level behavioral commands into actual robot movements, still requires individual design and repeated tuning of control systems according to each robot's structure and operation method.
Robai's technology aims to address this gap by providing a general-purpose AI control infrastructure that enables robots to understand their own body structure and movements and quickly adapt to various sites.
The company's technology could significantly accelerate the expansion of the robot market, particularly in industrial robots, service robots, humanoids, and soft robots.