In August, over 350 new datasets were published on Kaggle, in part sparked by our $10,000 Datasets Publishing Award. This interview delves into the stories and background of August’s three winners–Ugo Cupcic, Sudalai Rajkumar, and Colin Morris. They answer questions about what stirred them to create their winning datasets and kernel ideas they’d love to see other Kagglers explore.
Our team selected this dataset because it combines two exciting fields of research: robotics and deep learning. To learn more about the dataset, we loved Ugo’s excellent blog post “How I taught my robot to realize how bad it was at holding things” complementing the usage of Kaggle to make such a unique research-based dataset open and accessible to all.
As the Chief Technical Architect of the Shadow Robot Company, I spend a lot of time thinking about grasping things with our robots. This story is a quick delve into the world of grasp robustness prediction using machine learning.