Google’s DeepMind robotics team has unveiled three groundbreaking innovations aimed at enhancing the decision-making abilities of robots operating in outdoor settings. These advancements promise to enable robots to make quicker, more intelligent, and safer decisions when working alongside humans. Among the key developments is a unique system for gathering training data, accompanied by what Google refers to as a “Robot Constitution.”
AutoRT: Revolutionizing Data Collection
DeepMind’s AutoRT is a cutting-edge data collection system designed to empower robots with the capacity to comprehend their surroundings, adapt to new situations, and select optimal tasks. It harnesses the capabilities of both a Visual Language Model (VLM) and a Large Language Model (LLM), working in tandem.
Continue reading… “Google’s DeepMind Robotics: Advancing Robot Decision-Making in Outdoor Environments”