Rhoda AI Evaluates Impact of Web-Video Pretraining on Industrial Robot Performance
- Published
- Source
- HumanoidsDaily
Rhoda AI has reported enhancements in industrial manipulation capabilities through scaled web-video pretraining, as detailed in a study released on September 10. The research tested various model sizes, achieving completion rates of 3.7%, 65.0%, 75.3%, and 84.7% in under 100 seconds for tasks like unpacking bearings and sorting waste, with the largest model scoring 94 out of 111.
This study is significant as it explores a fundamental aspect of physical AI, demonstrating that larger models, while requiring more computational resources, can lead to improved performance. A separate fixed-size experiment indicated that increasing pretraining compute raised performance from 57.8% to 75.3%, suggesting that the amount of pretraining data and compute plays a crucial role in task execution efficiency.
Looking ahead, Rhoda's approach, which utilizes the Direct Video-Action architecture, emphasizes the importance of causal video modeling in robot training. The company’s ongoing evaluations and adaptations of its models will be critical to understanding the future applications of video pretraining in robotics. No further timeline was disclosed at the time of publication.
Original report
Rhoda Tests Whether Scaling Web-Video Pretraining Makes Robots Better at Real Work
HumanoidsDaily · [email protected] (Humanoids Daily Staff)This 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
RobotToday Weekly October 26 – 30, 2026 RobotToday · 1 day ago
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
Rhoda AI
United States
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.
ROB'OCC
France
Brens, France maker founded 2023 of the ROC-E offline AMR (200 kg payload); one unit ran 4,127 missions in a year at MECAPREC.
Dynalog, Inc.
United States
US robotics software firm, Michigan, founded 1990; global leader in robot calibration (DynaCal, CompuGauge); installed in 20+ countries.
API Metrology
United States
API (Automated Precision Inc) builds laser trackers, LADAR and 6DoF systems for robot calibration, dimensional measurement and inspection.
Wuxi Dexteroushands Robotics Technology Co., Ltd. 无锡灵掌机器人科技有限公司
China
Wuxi startup building LZ-series multi-finger dexterous hands with force/tactile sensing, ROS2 and Modbus interfaces for industrial manipulation
Wonik Robotics Co., Ltd. 원익로보틱스
Korea, Republic of (South)
South Korean robotics company founded 2004, making AMRs, mobile manipulators, and the Allegro Hand dexterous robotic hand for R&D and industry.
Learning Robots
France
Learning Robots is a Paris-Saclay CNRS spin-off making AlphAI, an educational robot and software for teaching artificial intelligence.
Positronic Robotics
Romania
Robotics startup building an open-source Python stack and AI control systems to turn commercial robots into autonomous cleaners.
Peppermint Robotics
India
India-based robotics startup building autonomous floor-cleaning and material-handling robots for commercial and industrial environments.
Fatfish Technology Pte Ltd
Singapore
Singapore's FatFish AI builds Visual Action Intelligence software, led by its CAMP One engine, for cross-brand robot perception and action.
KEBA Industrial Automation GmbH
Austria
Austrian automation specialist offering KeMotion robot control and Kemro X open platform for plastics, robotics, and machine-building industries since 1968.
ATS Industrial Automation
Canada
Automation and assembly systems integrator (part of ATS Corporation) building test and assembly platforms for eMobility, energy storage and nuclear markets.
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.
