Shaping the future of advanced robotics

SARA-RT (Speech Activity Recognition Tool): The speech activity recognition (SAR) tool is an artificial intelligence model designed to identify the intent behind a user’s speech commands or natural language speech input. SARET (Sound Action Recognition for Energy Transfer) is another AI model that helps detect and analyze acoustic signals for sound energy transfer, which can be used in power generation and other industries. RT-1: The Robotics Toolkit (RTK) is a powerful robot control toolkit designed to enable efficient programming of robots using the RoboMaker API on the Google Cloud Platform. It offers various features such as collision avoidance, manipulation of objects, motion planning and execution, real-time visualization, and more. RT-2: Robot Transformer (RT) is a flexible speech-to-text machine translation system designed to convert natural language spoken speech into written text or vice versa for data processing. The RT is trained on a large database of English and Chinese text, which allows it to quickly process unfamiliar languages. AutoRT: AutoRT (Automated Robotics Toolkit) is an open-source robotics toolkit that offers various modules for software design, simulation, and hardware development for AI-driven robotics. It includes modules such as visual programming interface, motion planning, sensing and perception, and more. SARET: Speech Activity Recognition Tool (SAR) is an open-source software that recognizes speech activities in natural language utterances such as commands, questions, or instructions. It uses a deep learning model to analyze the context of each word to determine its intent and generate machine-readable outputs. RT-1: Robotics Toolkit (RTK) is an open-source software framework that enables efficient programming of robots using the RoboMaker API on the Google Cloud Platform. It offers various features such as collision avoidance, manipulation of objects, motion planning and execution, real-time visualization, and more. RT-2: Robot Transformer (RT) is a flexible speech-to-text machine translation system designed to convert natural language spoken speech into written text or vice versa for data processing. The RT is trained on a large database of English and Chinese text, which allows it to quickly process unfamiliar languages. AutoRT: Speech Activity Recognition Tool (SAR) is an open-source software that recognizes speech activities in natural language utterances such as commands, questions, or instructions. It uses a deep learning model to analyze the context of each word to determine its intent and generate machine-readable outputs. SARET: Speech Activity Recognition Tool (SAR) is an open-source software that recognizes speech activities in natural language utterances such as commands, questions, or instructions. It uses a deep learning model to analyze the context of each word to determine its intent and generate machine-readable outputs.