Browse
Submit Data
Databases
API
Help

Dataset Information

23 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Benchmarking Protocols for Evaluating Small Parts Robotic Assembly Systems

ABSTRACT: This paper presents a set of performance metrics, test methods, and associated artifacts to help progress the development and deployment of robotic assembly systems. The designs for three task board artifacts that replicate small part insertion and fastening operations such as threading, snap fitting, and meshing with standard screws, nuts, washers, gears, electrical connectors, belt drives, and wiring are presented. To support the evaluation of robotic assembly and disassembly operations, benchmarking protocols and performance metrics are presented that leverage these task boards. Finally, robot competitions are discussed as use cases for these task boards.

SUBMITTER: Kimble K

PROVIDER: S-EPMC7537423 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas Projects (C1HT small)

Project description:Single-cell RNA sequencing (scRNA-seq) is the leading technique for charting the molecular properties of individual cells. The latest methods are scalable to thousands of cells, enabling in- depth characterization of sample composition without prior knowledge. However, there are important differences between scRNA-seq techniques, and it remains unclear which are the most suitable protocols for drawing cell atlases of tissues, organs and organisms. We have generated benchmark datasets to systematically evaluate techniques in terms of their power to comprehensively describe cell types and states. We performed a multi-center study comparing 13 commonly used single-cell and single-nucleus RNA-seq protocols using a highly heterogeneous reference sample resource. Comparative and integrative analysis at cell type and state level revealed marked differences in protocol performance, highlighting a series of key features for cell atlas projects. These should be considered when defining guidelines and standards for international consortia, such as the Human Cell Atlas project.

2019-12-10 | GSE133538 | GEO

Benchmarking Protocols for Evaluating Grasp Strength, Grasp Cycle Time, Finger Strength, and Finger Repeatability of Robot End-effectors.

Project description:This paper describes a set of metrics and supporting benchmarking protocols for determining the performance characteristics of robot end-effectors. In the short-term, these tools are proving useful as a common ground for assessing and comparing end-effectors. The long-term goal is a standard framework for providing technical specifications for robotic end-effectors to help pair technologies to application spaces. This paper presents a subset of the metrics - grasp strength, grasp cycle time, finger strength, and finger repeatability - with accompanying measurement techniques and supporting test artifacts. The application of these metrics and protocols is demonstrated using example implementations to characterize a variety of robot end-effectors, with example data sets and test designs provided for downloading.

| S-EPMC7670580 | biostudies-literature

A Magnetic-Field-Assisted Milli-Scale Robotic Assembly Machine: An Approach to Parallel Robotic Automation Systems.

Project description:Utilizing large numbers of microrobots to heterogeneously integrate small devices to build advanced structures has long been a goal in the field of manufacturing automation. In this paper, we demonstrate a novel milli-scale robotic assembly machine with highly parallel capabilities and assisted with a programmable magnetic field. The prototype machine consists of a 16 × 16 array of electromagnets. Using this machine, we have successfully demonstrated the manipulation of up to nine milli-scale robots simultaneously. Moreover, two microrobots have been operated to demonstrate the proof of concept of two simultaneous pick-and-place light-emitting diodes (LEDs). The design and modeling of the microrobots is discussed.

| S-EPMC6187365 | biostudies-literature

Systematic benchmarking of single-cell ATAC sequencing protocols

Project description:We systematically benchmarked 8 single-cell ATAC sequencing technologies for their capacity to generate high-quality single-cell open chromatin profiles, and to elucidate the regulatory landscape of complex samples. Our study contains 47 individual human PBMC scATAC-seq experiments from a reference male and female donor. To streamline data analysis, we devised PUMATAC (https://github.com/aertslab/PUMATAC), a flexible and universal data analysis pipeline and best practices repository for scATAC-seq. Systematic technology-specific differences in sequencing library complexity and biases in tagmentation specificity were found to impact the accuracy of cell type annotation, genotype demultiplexing, peak calling, differential region accessibility, and motif enrichment. Together, our data forms a new scATAC-seq reference of more than 169, 000 PBMC cells with matched single-cell multiome and RNA-seq data.

2023-05-22 | GSE194028 | GEO

Benchmarking full-length transcript single cell mRNA sequencing protocols

Project description:Here we present a performance evaluation of three different plate-based scRNA-seq protocols. Two commercially available kits; NEBNext Single Cell/ Low Input RNA Library Prep Kit (NEB), SMART-seq HT kit (Takara), and non-commercially available protocol Genome & transcriptome sequencing (G&T). We evaluated each kit based upon sensitivity, reproducibility, ease of use and price point per cell. This evaluation is specifically relevant for implementation of scRNA-seq in e.g. diagnostics, requiring high sensitivity in regards of gene detection, high reproducibility between samples, minimum hands on time and smooth sample preparation for technicians, as well as keeping a reasonable price point per patient. G&T protocol delivered the highest detection of genes per single cell, at the absolute lowest price point. Takara's kit delivered likewise high gene detection per single cell, and high reproducibility between sample, however at the absolute highest price points. Here we present pros and cons of each protocol, sequencing breast cancer cell line T47D.

2020-08-01 | GSE155506 | GEO

Evaluating bias-reducing protocols for RNA sequencing library preparation

Project description:The ligation step in RNA sequencing library generation is a known source of bias. We present the first comparison of the standard duplex adaptor protocol supplied by Life Technologies for use on the Ion Torrent PGM with an alternate single adaptor approach involving CircLigase (CircLig). We also investigate whether using the thermostable ligase Methanobacterium thermoautotrophicum RNA ligase K97A (Mth K97A) for the initial ligation step in the CircLigase protocol reduces bias. A pool of small RNA fragments of known composition was converted into a sequencing library using one of three protocols and sequenced on an Ion Torrent PGM. The single adaptor CircLigase-based approach significantly reduces, but does not eliminate, bias in Ion Torrent data. Using Mth K97A as part of the CircLig method does not further reduce bias.

2014-06-24 | E-MTAB-2566 | biostudies-arrayexpress

Benchmarking neuromorphic systems with Nengo.

Project description:Nengo is a software package for designing and simulating large-scale neural models. Nengo is architected such that the same Nengo model can be simulated on any of several Nengo backends with few to no modifications. Backends translate a model to specific platforms, which include GPUs and neuromorphic hardware. Nengo also contains a large test suite that can be run with any backend and focuses primarily on functional performance. We propose that Nengo's large test suite can be used to benchmark neuromorphic hardware's functional performance and simulation speed in an efficient, unbiased, and future-proof manner. We implement four benchmark models and show that Nengo can collect metrics across five different backends that identify situations in which some backends perform more accurately or quickly.

| S-EPMC4609756 | biostudies-literature

Benchmarking of optical dimerizer systems.

Project description:Optical dimerizers are a powerful new class of optogenetic tools that allow light-inducible control of protein-protein interactions. Such tools have been useful for regulating cellular pathways and processes with high spatiotemporal resolution in live cells, and a growing number of dimerizer systems are available. As these systems have been characterized by different groups using different methods, it has been difficult for users to compare their properties. Here, we set about to systematically benchmark the properties of four optical dimerizer systems, CRY2/CIB1, TULIPs, phyB/PIF3, and phyB/PIF6. Using a yeast transcriptional assay, we find significant differences in light sensitivity and fold-activation levels between the red light regulated systems but similar responses between the CRY2/CIB and TULIP systems. Further comparison of the ability of the CRY2/CIB1 and TULIP systems to regulate a yeast MAPK signaling pathway also showed similar responses, with slightly less background activity in the dark observed with CRY2/CIB. In the process of developing this work, we also generated an improved blue-light-regulated transcriptional system using CRY2/CIB in yeast. In addition, we demonstrate successful application of the CRY2/CIB dimerizers using a membrane-tethered CRY2, which may allow for better local control of protein interactions. Taken together, this work allows for a better understanding of the capacities of these different dimerization systems and demonstrates new uses of these dimerizers to control signaling and transcription in yeast.

| S-EPMC4277767 | biostudies-literature

Benchmarking protocols for the metagenomic analysis of stream biofilm viromes.

Project description:Viruses drive microbial diversity, function and evolution and influence important biogeochemical cycles in aquatic ecosystems. Despite their relevance, we currently lack an understanding of their potential impacts on stream biofilm structure and function. This is surprising given the critical role of biofilms for stream ecosystem processes. Currently, the study of viruses in stream biofilms is hindered by the lack of an optimized protocol for their extraction, concentration and purification. Here, we evaluate a range of methods to separate viral particles from stream biofilms, and to concentrate and purify them prior to DNA extraction and metagenome sequencing. Based on epifluorescence microscopy counts of viral-like particles (VLP) and DNA yields, we optimize a protocol including treatment with tetrasodium pyrophosphate and ultra-sonication to disintegrate biofilms, tangential-flow filtration to extract and concentrate VLP, followed by ultracentrifugation in a sucrose density gradient to isolate VLP from the biofilm slurry. Viromes derived from biofilms sampled from three different streams were dominated by Siphoviridae, Myoviridae and Podoviridae and provide first insights into the viral diversity of stream biofilms. Our protocol optimization provides an important step towards a better understanding of the ecological role of viruses in stream biofilms.

| S-EPMC6927355 | biostudies-literature

Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas Projects

Project description:This SuperSeries is composed of the SubSeries listed below.

2019-12-10 | GSE133549 | GEO