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RoboticsAI Business & IndustryPR TIMES (AI)Published: Nov 10, 2026, 16:01 JST

RLWRLD picked for NVIDIA Korea AI investment, unveils DexBench

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RLWRLD picked for NVIDIA Korea AI investment, unveils DexBench

3 Key Points

  1. What happened

    RLWRLD Inc. was named a target of NVIDIA's new investment plan for Korean AI startups, announced at the MSIT-NVIDIA AI Startup Partnership Forum, and released DexBench on Isaac Lab-Arena.

  2. Why it matters

    The backing ties RLWRLD's robotics foundation model RLDX-1 to NVIDIA's simulation technology, and DexBench gives research institutions and robot developers a shared benchmark for comparing robot AI, per the company.

WHO IT HITSRobot developers and research institutions gain a common benchmark for comparing robot AI, while RLWRLD aims to expand deployment with industrial partners.

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Context & Analysis

RLWRLD's selection for NVIDIA's investment plan follows a June 2026 collaboration between the two companies on common evaluation standards and data standards for dexterous manipulation. That earlier work now has its first major output in DexBench, which reproduces 15 tasks across retail, logistics, assembly, and hotel food service on NVIDIA Isaac Lab-Arena. The benchmark is built on NVIDIA's open-source robot evaluation framework and the open-source physics engine Newton, and it assesses not only task success rates but also generalization to unfamiliar objects and physical properties. The investment is part of NVIDIA's broader plan for Korean AI startups, announced at a forum co-hosted with Korea's Ministry of Science and ICT. RLWRLD intends to combine NVIDIA's simulation technology with its own RLDX-1 robotics foundation model and to expand sim-to-real validation, robot platforms, and task types. Industrial partners such as Genesis AI and Mimic Robotics are already testing DexBench through early access.

FAQ
What is DexBench?
DexBench is a benchmark that evaluates how accurately a robot with five fingers performs 15 tasks across four industrial settings (retail, logistics, assembly, and hotel food service), reproduced in virtual space on NVIDIA Isaac Lab-Arena. It also assesses generalization to unseen objects, physical properties, and spatial arrangements.
What will RLWRLD do with the investment?
RLWRLD plans to use the funds to advance its robotics foundation model and expand on-site deployment with industrial partners. It will also combine NVIDIA's simulation technology with its RLDX-1 model.
Is DexBench available to others?
RLWRLD will release DexBench's code, evaluation environment, training data, baseline models, and a leaderboard for performance comparisons. Partners including Genesis AI and Mimic Robotics are already evaluating DexBench through early access.
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