Google DeepMind Enhances Robotic Dexterity
The Robot Report | Google DeepMind’s latest advancements in robotic dexterity involve using machine learning models and simulation, notably combining vision and touch sensors. This approach enables robots to handle complex tasks like manipulating various objects in real-world environments, enhancing adaptability. The article highlights how these robots can complete tasks requiring fine motor skills, typically challenging for automated systems. Their progress is important for the future of robotics in both industry and everyday use, promising more autonomous robots capable of performing delicate operations.
Read More – https://www.therobotreport.com/inside-google-deepmind-latest-advances-in-robot-dexterity/
Image – Google DeepMind
