推进机器人技术和触觉感知-Meta FAIR的人工智能研究

原文链接：Advancing robotics and touch perception | AI Research from Meta FAIR

More details on Meta FAIR's latest advancements in embodied AI: https://go.fb.me/7mrqd6关于Meta FAIR在具身AI领域的最新进展的更多详细信息：

Researchers at Meta FAIR are releasing several new research artifacts that advance robotics and support our goal of reaching advanced machine intelligence (AMI). These include Meta Sparsh, the first general-purpose encoder for vision-based tactile sensing that works across many tactile sensors and many tasks; Meta Digit 360, an artificial fingertip-based tactile sensor that delivers detailed touch data with human-level precision and touch-sensing; and Meta Digit Plexus, a standardized platform for robotic sensor connections and interactions that enables seamless data collection, control and analysis over a single cable.

Meta FAIR的研究人员正在发布多项新的研究成果，以推动机器人技术的发展，并助力我们实现高级机器智能（AMI）的目标。这些成果包括Meta Sparsh，它是首个用于视觉触觉感知的通用编码器，可与多种触觉传感器和多种任务配合使用；Meta Digit 360，一种基于人造指尖的触觉传感器，能够以人类级别的精度和触觉感知提供详细的触摸数据；以及Meta Digit Plexus，一个用于机器人传感器连接和交互的标准化平台，可通过单根电缆实现无缝的数据收集、控制和分析。

To make these advancements more accessible for different applications, we’re partnering with and to develop and commercialize these touch-sensing innovations.

为了让这些进步能够更广泛地应用于不同领域，我们正在与@GelSight和@wonikrobotics合作，共同开发和商业化这些触觉感知创新技术。

Additionally we're releasing PARTNR, a benchmark for Planning And Reasoning Tasks in humaN-Robot collaboration. It’s the largest benchmark of its kind to study and evaluate human-robot collaboration in household activities.

此外，我们还发布了PARTNR，这是一个人机协作中规划与推理任务的基准测试。它是同类中最大的基准测试，用于研究和评估家务活动中的人机协作。