Runway AI Launches Praxis-1 World Action Model for Robotics Developers
- Published
- Source
- RoboticsBusinessReview.com
Runway AI Inc. has released Praxis-1, a world action model for robotics, now accessible to developers under the Apache 2.0 license. This model builds on Runway's contributions as a founding member of the Cosmos Coalition, focusing on open world models for physical AI. Praxis-1 has been tested by partners like Noble Machines and Standard Bots, demonstrating significant improvements in task performance compared to previous models.
The importance of Praxis-1 lies in its advanced capabilities, which allow it to learn tasks with minimal examples. For instance, it successfully completed a warehouse task with a 100% success rate after just half an hour of training. Additionally, it has been recognized as the top-ranked world action model on NVIDIA’s RoboLab leaderboard, showcasing its effectiveness in real-world applications.
Runway's Praxis-1, a 27B-parameter mixture-of-experts diffusion transformer, is designed to predict both video and actions, enhancing its understanding of the physical world. The model's performance metrics indicate a 46.2% success rate on RoboLab-120, positioning it favorably against other models. No further timeline was disclosed at the time of publication.
Original report
Runway’s Praxis-1 world action model for robotics is now available
RoboticsBusinessReview.com · Brianna WesslingThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
Noble Machines
US developer of general-purpose humanoid robots that learn industrial skills in hours via language, demonstrations, and gestures.
Standard Bots
Glen Cove, NY maker of AI-native collaborative robot arms made in the USA, offering the Core (18 kg) and Thor (30 kg) from $5/hour via subscription or purchase.
Runway AI, Inc.
US AI research company building general world models (GWM-1) for video generation and a robot-learning platform for policy inference, sim evaluation and data.
Uavia
French drone-in-a-box platform company founded 2014, enabling remote industrial infrastructure inspection via permanently deployed autonomous UAV stations.
ACE Robotics 大晓机器人
Shanghai embodied-AI startup founded 2025, chaired by a SenseTime co-founder; builds the open Kairos world model and the A1 robot brain module.
ZhiCheng AI (Hangzhou) Technology Co., Ltd. 智澄英达(杭州)科技有限公司
Hangzhou humanoid robot maker of the TR-series (TR4/TR5/TR6) and open-source Chengling world model.
NVIDIA Robotics
NVIDIA robotics division delivering Isaac simulation and training tools, Jetson edge compute modules, and Omniverse digital twin frameworks for physical AI.
Deci AI (Acquired by NVIDIA)
Israeli deep learning optimization startup acquired by NVIDIA in May 2024 for ~$300M; known for AutoNAC neural architecture search technology.
Liquid AI
MIT-spinout building device-native foundation models (LFMs) that run on-device across phones, cars, robots and edge hardware.
Shanghai Artificial Intelligence Laboratory 上海人工智能实验室
Shanghai-based national AI research institute founded 2020; develops the InternLM model family and the Intern-Robotics embodied-AI engine.
Rhoda AI
Palo Alto robotics company building a video-prediction robot control model (DVA, FutureVision) and a wheeled 25 kg-payload robot; USD 450M Series A in 2026.
AMI Labs
AMI Labs is a Paris AI startup founded by Yann LeCun in 2025, building JEPA-based world models trained on real-world sensor data, not language.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.