Benchmarking Grasping and Manipulation

OCRTOC: A Cloud-Based Competition and Benchmark for Robotic ...

With the OCR-. TOC benchmark, we aim to lower the barrier of conducting reproducible research on robotic grasping and manipulation and accelerate progress in ...

Benchmarking In-Hand Manipulation - Kaiyu Hang

While some benchmark examples are available for evalu- ating grasp planning in a simulated environment [5], [6], we believe that for contact- ...

Introduction to the Special Issue on Benchmarking Protocols for ...

He also works on fundamental research questions regarding robotic manipulation and does research on robotic grasping, control of soft robots, active vision ...

The YCB Object and Model Set and Benchmarking Protocols - arXiv

The Columbia. Grasp Database (CGD) [3] rearranges the object models of the Princeton Shape Benchmark (PSB) [18] for robotic manipulation and provides mesh ...

Benchmarking grasping and manipulation: Properties of the Objects ...

(DOI: 10.1109/IROS.2010.5649517) This paper presents a number of concepts related to benchmarking and evaluation of grasping and manipulation.

An Environment for the Comparative Analysis of Grasping and ... - KIT

The OpenGRASP Benchmarking Suite: An Environment for the Comparative Analysis of Grasping and. Dexterous Manipulation. S. Ulbrich, D. Kappler, T. Asfour, N.

BURG: Benchmarks for Understanding Grasping - IRI-UPC

To obtain a deeper understanding of object manipulation, we propose (1) a task-oriented part-based modelling of grasping and (2) BURG - our ...

OCRTOC: A Cloud-Based Competition and Benchmark for Robotic ...

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

The YCB Object and Model Set

Keywords—benchmarking; manipulation; rehabilitation; prosthetics; grasping. I. INTRODUCTION. Benchmarks are crucial for the progress of a research field,.

Benchmarking the Grasping and Dexterous Manipulation ...

Benchmarking the Dexterity and Performance of Grippers and Hands with Modular, Sensorized Objects. The human hand is Nature's most versatile and dexterous end- ...

[PDF] Benchmarking Bimanual Cloth Manipulation - Semantic Scholar

Benchmarking Bimanual Cloth Manipulation · Irene Garcia-Camacho, G. Alenyà, +8 authors. A. Marino · Published in IEEE Robotics and Automation… 13 January 2020 ...

Performance measures to benchmark the grasping, manipulation ...

Performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications.

Research Challenges and Progress in Robotic Grasping and ...

We first provide an overview of past benchmarks and competitions related to the robotics manipulation field. Then, we discuss the methodology behind designing ...

IROS 2018 Workshop - USF RPAL - University of South Florida

Experimental Robotic Grasping and Manipulation -- Benchmarks, Datasets, and Competitions ... The poster and demo session at this workshop will give the ...

Grasping Robotics Benchmarking Manipulation - IEEE DataPort

This dataset collects the analysis results that are presented in the paper: "GRASPA-fying the Panda: Easily Deployable, Fully Reproducible Benchmarking of ...

Intelligent Soft Hands and Benchmarking towards General-Purpose ...

The YCB object and model set intends to provide a complete grasping and manipulation benchmark with a carefully selected set of widely used objects and tasks to ...

Properties of the Objects of Daily Living | CoLab

Benchmarking grasping and manipulation: Properties of the Objects of Daily Living. Matheus K., Dollar A.M.. Expand. Publication type ...

Grasping and Manipulation

Traditionally, the problem of robotic grasping and manipulation has been formalized under the assumption of perfect knowledge on the object, robot hand and ...

Statistical Stratification and Benchmarking of Robotic Grasping ...

The advantages of our approach are demonstrated in the practical comparison of four grasp planning algorithms. In particular, we show that the ...

Benchmarking pose estimation for robot manipulation

Robot grasping and manipulation require estimation of 3D object poses. Recently, a number of methods and datasets for vision-based pose estimation have been ...