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
- brain
- Maturity
- pilot
- Lifecycle
- active
- Deployments
- 2
The verified answer
As of Oct 2026, DEPLOY verifies RLDX-1, a brain 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
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/
Mentioned on (2)
Registry pages whose text names RLDX-1.
Companies (1)
People (1)
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 brain?
What is RLDX-1's maturity stage?
Is RLDX-1 safe?
Methodology: Verified · 2 sources (no primary) · last reviewed 2026-10-10
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-10-10
Maturity + lifecycle
Maturity stage: pilot
Lifecycle: active
Architectural position
Cohort: brain
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
(Yonhap Interview) Startup RLWRLD seeks to tackle demographic decline with its dexterity robot foundation model
RLWRLD launches open platform to benchmark dexterous robotic hands
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
(Yonhap Interview) Startup RLWRLD seeks to tackle demographic decline with its dexterity robot foundation model
RLWRLD launches open platform to benchmark dexterous robotic hands
Synthetic data fuels humanoid race as Korea firms scale robot training - CHOSUNBIZ
Putting Dexterous Robots to Work: How RLWRLD Builds Physical AI with AWS
RLWRLD named World Economic Forum Technology Pioneer for advancing physical AI infrastructure
RLWRLD teams with NVIDIA on robot dexterity benchmarks
Physical AI Battle Shifts to Field Data as NVIDIA, AWS, Manufacturers Converge in Seoul
RLWRLD and Nvidia launch DexBench to standardize humanoid robot dexterity
RLWRLD Debuts Robotics Foundation Model ‘RLDX-1’ at NVIDIA GTC Taipei 2026
NVIDIA-backed robotics startup RLWRLD targets dexterous labor worth trillions with RLDX-1
South Korean Companies Advance in Humanoid Fingertip Technology
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 67th percentile but verifies reality at the 52nd percentile among brain robots. Hype Gap +14.4, 3rd widest among brain 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: Oct 15, 2026