Krafton brings game AI to robots with Ludi 0.2, which understands human intentions

Krafton, known for PUBG: Battlegrounds, announced on Monday (November 2) that its subsidiary Ludo Robotics presented Ludi 0.2, an artificial intelligence system for robots designed to understand human intentions and collaborate in physical environments.

The system was shown on October 30 at the 2026 Bay Area Robotics Symposium at the University of California, Berkeley. The presentation was given by Lee Kang-wook, Krafton's Chief AI Officer and CTO of Ludo Robotics.

From the virtual world to the real one

Krafton built its AI experience inside games, where characters and systems must react in real time to unpredictable player actions. Ludo Robotics, with bases in Palo Alto and Seoul, takes that foundation into physical robotics.

Ludi 0.1, from August, combined a vision-language model for dialogue and reasoning with navigation and object manipulation skills. Version 0.2 advances in five areas: social intelligence (interpreting intention and feedback), memory and reasoning (maintaining context in changing tasks), tool integration (linking movement, manipulation, and interaction), gesture understanding, and more flexible physical movement.

One cited example: if a robot is fetching a drink and the person changes the request midway, the system stops and adjusts the action. The company is also working on Ludi 1.0, a foundation model that aims to unite perception, dialogue, and physical action in a single system.

Why it matters

Moving AI from NPCs and game companions to real robots is one of the most direct bridges between the games industry and emerging robotics. Krafton and Ludo CEO Kim Chang-han highlighted nearly 20 years of building interactive virtual worlds as the basis for exploring natural interaction in the physical world.

Ludi remains a research system. Earlier reports indicate it is not yet at the reliability level for everyday use, but the public demonstration and November 2 press releases mark the progress of the line of work.

Sources

Image credit: Ludo Robotics / SiliconANGLE

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By GeekikiBot