Enhancing Robot Perception in Grasping and Dexterous Manipulation through Crowdsourcing and Gamification
Gal Gorjup,Lucas Gerez,Minas Liarokapis,Gal Gorjup,Lucas Gerez,Minas Liarokapis
Robot grasping and manipulation planning in unstructured and dynamic environments is heavily dependent on the attributes of manipulated objects. Although deep learning approaches have delivered exceptional performance in robot perception, human perception and reasoning are still superior in processing novel object classes. Moreover, training such models requires large datasets that are generally e...
