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Papers & Evaluations with links to supporting source material.

143 selected reportsLast 30 days 120 recordsAll coverage 1,102 records

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Signal archive — Page 8

2025-04-01Tue141–143 records
  1. Sanctuary AI — Research and announcements65

    Sanctuary AI Leads the Industry in Controlling Advanced Hydraulic Hands Using Reinforcement Learning

    Sanctuary AI has demonstrated advanced manipulation skills using reinforcement learning to train dexterous policies for their high-performance hydraulic hands. The system successfully reorients objects in the real world under gravity and with added weight, showcasing the effectiveness of their approach. This represents the first successful transfer of such policies to five-fingered hands, highlighting the company's proprietary technology and hardware capabilities.

2025-03-18Tue
  1. Sanctuary AI — Research and announcements65

    Sanctuary AI Leverages NVIDIA Isaac Lab to Accelerate Dexterous Learning

    Sanctuary AI has demonstrated industry-leading sim-to-real transfer of dexterous manipulation policies using their high-degree-of-freedom hydraulic hands. The company leverages NVIDIA Isaac Lab, an open-source framework for robot learning, to simulate dexterity-focused training environments. This approach enables efficient training of autonomous robots, with the ability to train thousands of hands simultaneously and accelerate the learning process through online reinforcement learning.

2015-05-19Tue
  1. NIST — Robotics measurement and research85

    Standard Knowledge for Robots

    NIST and IEEE have developed a standard for robotics ontologies, designed to improve robot programming, communication, and task execution. The standard, known as IEEE P1872, provides a formal framework for representing robot knowledge and enables efficient information exchange. It is a foundational step toward creating a shared understanding among robots and humans.

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