Robot model
RLDX-1
RLDX-1 is a dexterity-first robotics foundation model built for high degree-of-freedom (DoF) robotic hands.
- Manufacturer
- RLWRLD
- Form factor
- other
- Maturity
- pilot
- Lifecycle
- active
- Deployments
- 2
The verified answer
As of Aug 2026, DEPLOY verifies RLDX-1, a other by RLWRLD (pilot): 2 verified deployments on record. 2 sources back the record.
Overview
RLDX-1 is a dexterity-first robotics foundation model built for high degree-of-freedom (DoF) robotic hands. It uses a Multi-Stream Action Transformer (MSAT) architecture with dedicated streams for vision, tactile/torque, and memory, and a robot-specialized VLM fine-tuned on trajectory VQA. RLDX-1 scored 70.6 on RoboCasa Kitchen, outperforming NVIDIA GR00T N1.6 (66.2) using ~20% of the training compute. Deployable across single-arm, dual-arm, and humanoid embodiments.
Verified vs. claimed
- Maturity stage
- pilot(Small-scale deployment in controlled or trial conditions.)
- Sources on file
- View all sources →
Key facts
Manufacturer
Type
Maturity
Data & sources
News coverage
1
Web sources
1
2 sources backing this record.View all →
Pricing
No verified price is on record for RLDX-1. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.
Deployments (2)
- RLDX-1 at South Korea, Asiaoperational
Commercial product — available for purchase in this market.
Commercial product — available for purchase in this market.
RLDX-1 on the deployment map
View the global mapWhere RLDX-1 is verified operating. Explore the deployment map by place and type.
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdJul 16, 2026
Added to the verified registry
- Deployment verifiedVerifiedJun 1, 2024
at South Korea, Asia
- Deployment verifiedVerifiedJun 1, 2024
at United States (multiple hotel chains)
Safety record
No incidents on record for RLDX-1.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Sources (2)
- RLWRLD releases RLDX-1, a dexterity-first foundation model for robot hands · https://www.therobotreport.com/rlwrld-releases-rldx-1-a-dexterity-first-foundation-model-for-robot-hands/
- RLWRLD Debuts Robotics Foundation Model RLDX-1 at NVIDIA GTC Taipei 2026 · https://theaiinsider.tech/2026/06/02/rlwrld-debuts-robotics-foundation-model-rldx-1-at-nvidia-gtc-taipei-2026/
Common questions
What is RLDX-1?
How much does RLDX-1 cost?
Is RLDX-1 actually deployed in the real world?
Who makes RLDX-1?
Where is RLDX-1 deployed?
Can you buy RLDX-1?
What are alternatives to RLDX-1?
How does RLDX-1 compare to BrainOS?
Is RLDX-1 a top other?
What is RLDX-1's maturity stage?
Is RLDX-1 safe?
Methodology: Verified · 2 sources (no primary) · last reviewed 2026-08-09
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-08-09
Maturity + lifecycle
Maturity stage: pilot
Lifecycle: active
Architectural position
Cohort: other
Sources by quality tier
- 1
- secondary-trade-publication
- Trade publication
- 1
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for RLDX-1.Recent coverage
RLDX-1 in third-party press
Teaching Robot Hands with Hundreds of Twice of Field Data… RLWRLD Selected for AWS Physical AI 1st Cohort - 벤처스퀘어
(Yonhap Interview) Startup RLWRLD seeks to tackle demographic decline with its dexterity robot foundation model - Yonhap News Agency
RLWRLD launches open platform to benchmark dexterous robotic hands - Robotics & Automation News
Attention vs reality over time
Media mentions per month (area) against verified deployment events (dots). A press spike over a flat deployment line is the hype gap, drawn over time.
In the press
Recent coverage mentioning RLDX-1 from third-party publications. Automatically surfaced; not part of the verified registry record.
Teaching Robot Hands with Hundreds of Twice of Field Data… RLWRLD Selected for AWS Physical AI 1st Cohort - 벤처스퀘어
<a href="https://news.google.com/rss/articles/CBMiU0FVX3lxTE5ZSFNnS1RNaDNXSEdKc3NBZDVoT2M4MDlTdjVxOXM5WWI4R0Q3c0RPTlk1NEdLWG1ocWZ3bTNVUjBCYll3UkRNaFhOUHNDZEMwYjFr?oc=5"…
(Yonhap Interview) Startup RLWRLD seeks to tackle demographic decline with its dexterity robot foundation model - Yonhap News Agency
<a href="https://news.google.com/rss/articles/CBMiWkFVX3lxTE5Xd2VmRV9BaXQ0V25RZU1nYUJWTnBSVmcwd2xib2twM3c1LWl1eHZnTnhOcGh5bmV0ZHpXQVluTWJCd0JUMjQ3aldpeXJ4dFBxSXBZb291UXdGQQ?oc=5"…
RLWRLD launches open platform to benchmark dexterous robotic hands - Robotics & Automation News
<a…
Synthetic data fuels humanoid race as Korea firms scale robot training - CHOSUNBIZ - Chosunbiz
<a…
Putting Dexterous Robots to Work: How RLWRLD Builds Physical AI with AWS - Amazon Web Services (AWS)
<a…
RLWRLD named World Economic Forum Technology Pioneer for advancing physical AI infrastructure - Robotics & Automation News
<a…
RLWRLD teams with NVIDIA on robot dexterity benchmarks - Engineering.com
<a…
Physical AI Battle Shifts to Field Data as NVIDIA, AWS, Manufacturers Converge in Seoul - 조선일보
<a…
RLWRLD and Nvidia launch DexBench to standardize humanoid robot dexterity - Robotics & Automation News
<a…
RLWRLD Debuts Robotics Foundation Model ‘RLDX-1’ at NVIDIA GTC Taipei 2026 - AI Insider
<a…
NVIDIA-backed robotics startup RLWRLD targets dexterous labor worth trillions with RLDX-1 - R&D World
<a…
South Korean Companies Advance in Humanoid Fingertip Technology - 조선일보
<a…
Machine-readable surfaces
- Markdown mirror: /models/rldx-1.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/models/f13beac0-1b1a-4524-8add-33de43dedbf9
- Revision history: /models/rldx-1/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
RLDX-1 draws attention at the 79th percentile but verifies reality at the 51st percentile among other robots. Hype Gap +28.3, 19th widest among other robots.
6-month trend
Analysis
Thin deployment record; scale validation still in progress.
Signal flags
Dimension breakdown
Verified signal
Attention (reach, not merit)
DEPLOY Intelligence scores are computed from verified registry data: confirmed deployments, disclosed funding rounds, regulatory filings, active job listings, video viewership, and press coverage. Confidence ratings reflect data availability. Scores update nightly.
DEPLOY Indices — verified vs claimed
Last computed: Aug 31, 2026