101 citations · 295 across the 24 of their papers we have counts for
24 papers
Multi-Object Grasping -- Generating Efficient Robotic Picking and Transferring Policy
Adheesh Shenoy, Tianze Chen, Yu Sun
Transferring multiple objects between bins is a common task for many applications. In robotics, a standard approach is to pick up one object and transfer it at a time. However, gra…
Functional Task Tree Generation from a Knowledge Graph to Solve Unseen Problems
Md. Sadman Sakib, David Paulius, Yu Sun
A major component for developing intelligent and autonomous robots is a suitable knowledge representation, from which a robot can acquire knowledge about its actions or world. Howe…
Multi-Object Grasping -- Estimating the Number of Objects in a Robotic Grasp
Tianze Chen, Adheesh Shenoy, Anzhelika Kolinko +2
A human hand can grasp a desired number of objects at once from a pile based solely on tactile sensing. To do so, a robot needs to grasp within a pile, sense the number of objects…
Research Challenges and Progress in Robotic Grasping and Manipulation Competitions
Yu Sun, Joe Falco, Maximo A. Roa +1
This paper discusses recent research progress in robotic grasping and manipulation in the light of the latest Robotic Grasping and Manipulation Competitions (RGMCs). We first provi…
Evaluating Recipes Generated from Functional Object-Oriented Network
Md Sadman Sakib, Hailey Baez, David Paulius +1
The functional object-oriented network (FOON) has been introduced as a knowledge representation, which takes the form of a graph, for symbolic task planning. To get a sequential pl…
A Road-map to Robot Task Execution with the Functional Object-Oriented Network
David Paulius, Alejandro Agostini, Yu Sun +1
Following work on joint object-action representations, the functional object-oriented network (FOON) was introduced as a knowledge graph representation for robots. Taking the form…