There is a strong interest in the robotics community in learning how humans grasp and manipulate objects, partly because robots need to operate in human environments and partly because humans are currently much better in physical interaction tasks than robots. This thesis seeks to identify the human heuristics for grasping...
This thesis explores the use of human kinesthetic input to advance robotic grasp planning. It specifically focuses on identification of human heuristics of grasp similarity by extensive human-subject experiments. This heuristic is then utilized to develop a robust metric for identifying similar robotic grasps. The central hypothesis of this work...
Steel foundries are in great need of automation as current operations involve many hazardous manual tasks. Automating foundry operations is very challenging due to the variety of tasks that must be performed on physical objects that vary significantly in size, shape, and weight. This thesis focuses on robotically automating the...