Advancing Robotic Grasping: Challenges and Solutions

This chapter explores the complexities of training robotic grasping abilities using the GraspNet 1 billion dataset, emphasizing the need for a general representation model to streamline the process. It highlights the findings from a dexterous grasping algorithm tested on various robotic hand configurations, revealing that increased complexity does not always lead to improved performance.