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PUBG maker Krafton shows Ludi 0.2, robot AI built to read people

Ludo Robotics, the Palo Alto robotics subsidiary of PUBG maker Krafton, presented Ludi 0.2 at the Bay Area Robotics Symposium at UC Berkeley. The update to its humanoid agent system targets intent, feedback, gestures and memory, and the team says a unified foundation model, Ludi 1.0, is in development.

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Ludo Robotics, the robotics subsidiary of PUBG maker Krafton, has presented Ludi 0.2, the next version of its AI system for robots that work with people, at the 2026 Bay Area Robotics Symposium at UC Berkeley on 30 October[1]. Krafton announced it in Korea and Japan on 2 November[3][4].

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What changed in 0.2

Ludo lists five areas it improved: reading intent, feedback and social cues; memory and reasoning across changing tasks; coordinating navigation, manipulation and interaction; recognising gestures; and smoother movement in supported environments[1]. The announcement gives no benchmark figures or hardware details for the new version[1].

"Robots are becoming increasingly capable of performing physical tasks, but understanding and responding to people remains a major challenge," said Kangwook Lee, Krafton's chief AI officer and Ludo's CTO[1].

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How Ludi works

The clearest picture comes from the Ludi 0.1 paper Ludo published in August. A Qwen3.5 vision-language model, fine-tuned on 14,432 synthetic multi-turn interaction traces, looks at the robot's cameras and the conversation and picks one action per turn: speak, wait, look up the map, navigate, check reachability or run a manipulation skill[2]. A harness validates and executes each call, and a user can interrupt mid-action, as in the paper's demo where a Unitree G1 humanoid drops a reach for a Coke when told the recipient prefers Pepsi[2].

Manipulation runs through vision-language-action policies built on NVIDIA's GR00T N1.7 and fine-tuned on teleoperated demonstrations, and the whole stack can run on local hardware without cloud models[2]. In Ludo's 28-scenario simulation benchmark, the fine-tuned 9B model completed 20 scenarios against 11 before fine-tuning, while GPT-5.6 with an optimised prompt completed 26. Ludo deployed the smaller 4B model because it responds faster[2].

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From games to robots

Krafton pitches the work as an extension of the AI it builds for games, including the Co-Playable Characters it develops with NVIDIA[1]. Ludo is headquartered in Palo Alto with an R&D lab in Seoul, and trains on a mix of simulation, AI-generated social interactions and real human behaviour data[1][5].

Next on its roadmap is Ludi 1.0, a foundation model meant to fold perception, dialogue and physical action into one system rather than a set of tools stitched together by a harness[1][2].

FAQ

Frequently asked questions.

01

What is Ludi 0.2?

It is the latest version of Ludo Robotics' robot intelligence system, presented on 30 October at the 2026 Bay Area Robotics Symposium at UC Berkeley. Ludo says it improves how a robot reads human intent, feedback and social cues, keeps context, coordinates navigation and manipulation, understands gestures and moves.

02

Who is behind Ludo Robotics?

Ludo Robotics is a subsidiary of Krafton, the Korean company behind PUBG: Battlegrounds. It is headquartered in Palo Alto with an R&D lab in Seoul, led by Krafton CEO CH Kim, with Krafton chief AI officer Kangwook Lee as CTO and UW–Madison professor Rob Nowak as chief scientist.

03

How does the Ludi system work?

The earlier Ludi 0.1 paper describes a fine-tuned Qwen3.5 vision-language model that decides at each turn whether the robot should speak, wait, navigate or manipulate, inside a harness that runs the tools. Manipulation runs through vision-language-action policies based on NVIDIA's GR00T N1.7, on a Unitree G1 humanoid, and everything can run locally.

04

Did Ludo publish benchmark numbers for Ludi 0.2?

No. The Ludi 0.2 announcement lists capability areas but no figures. The Ludi 0.1 paper reported that its fine-tuned 9B model completed 20 of 28 closed-loop simulation scenarios, against 11 for the same model before fine-tuning and 26 for GPT-5.6 with an optimised prompt.

05

What comes next?

Ludo says it is developing Ludi 1.0, a foundation model meant to combine perception, dialogue and physical action in one system, trained partly on interaction traces collected by the current agent.