Learning to efficiently plan robust frictional multi-object grasps: interview with Wisdom Agboh

When skilled waiters clear tables, they grasp multiple utensils and dishes in a single motion. On the other hand, robots in warehouses are inefficient and can only pick a single object at a time. This research leverages neural networks and fundamental robot grasping theorems to build an efficient robot system that grasps multiple objects at once. To quickly deliver your online orders, amidst increasing demand and labour shortages, fast and efficient robot picking systems in warehouses have become indispensable. This research studies the fundamentals of multi-object robot grasping. It is easy for humans, yet extremely challenging for robots.