Spotlight: Galbot Builds a Large-Scale Dexterous Hand Dataset for Humanoid Robots Using NVIDIA Isaac Sim
Robotic dexterous grasping is a critical area of research and development, aimed at enabling robots to interact with and manipulate objects as flexibly as humans can. By enabling robots to handle complex tasks that require fine motor skills, dexterous grasping can significantly enhance productivity and efficiency. The first step to enabling human-like dexterous object manipulation for robots is through robotic dexterous grasping. However, validating dexterous grasping data has been a major challenge, as human annotations are impractical on a scale of millions of grasps. Without large-scale datasets, robotic dexterous grasping has remained under-explored compared to object grasping with parallel grippers. … Read more