activity
20152026
most citedBenchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols

604 citations · 651 across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.RO2021★ 29 cited

Household Cloth Object Set: Fostering Benchmarking in Deformable Object Manipulation

Irene Garcia-Camacho, Júlia Borràs, Berk Calli +2

Benchmarking of robotic manipulations is one of the open issues in robotic research. An important factor that has enabled progress in this area in the last decade is the existence…

cs.RO2021★ 1 cited

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…

cs.CV2021★ 4 cited

ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes

Dina Bashkirova, Mohamed Abdelfattah, Ziliang Zhu +7

Less than 35% of recyclable waste is being actually recycled in the US, which leads to increased soil and sea pollution and is one of the major concerns of environmental researcher…

cs.RO2021

ECNNs: Ensemble Learning Methods for Improving Planar Grasp Quality Estimation

Fadi Alladkani, James Akl, Berk Calli

We present an ensemble learning methodology that combines multiple existing robotic grasp synthesis algorithms and obtain a success rate that is significantly better than the indiv…

cs.RO2021★ 1 cited

Grasp Synthesis for Novel Objects Using Heuristic-based and Data-driven Active Vision Methods

Sabhari Natarajan, Galen Brown, Berk Calli

In this work, we present several heuristic-based and data-driven active vision strategies for viewpoint optimization of an arm-mounted depth camera for the purpose of aiding roboti…

cs.RO2021★ 6 cited

OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation

Ziyuan Liu, Wei Liu, Yuzhe Qin +8

In this paper, we propose a cloud-based benchmark for robotic grasping and manipulation, called the OCRTOC benchmark. The benchmark focuses on the object rearrangement problem, spe…