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1,355 results for “manipulation”
Dataset for: An experimental comparison of anomaly detection methods for collaborative robot manipulators
<p>The dataset contains data recordings from a UR5e robot during normal and anomalous operation and is recorded to support the authors Master thesis project and the associated Paper: <em>"An Experimental Comparison of Anomaly Detection Methods for Collaborative Robot Manipulators" </em>(inProceeding).</p> <p>An in-depth description of the dataset can be found in the pdf uploaded with the dataset and an example of a data loader is also provided.</p>
Tele-manipulation dataset of the Analog-1 experiment
<p>This dataset contains log data and matlab functions.</p> <p>The data was collected during the main space mission Analog-1.</p> <p>The data serves the analysis of telemanipulation with force feedback under KU-forward space communication using the Time Domain Passivity Approach for High Delays (TDPA-HD).</p>
Multi-view rendered YCB dataset for mobile manipulation
<p>This dataset contains different scenarios wherein a mobile robot is approaching a set of YCB objects using both its base and arm motions. There are a total of sixteen sequences with around 100-time steps per sequence. All the sequences were generated using BlenderProc photo-realistic renderer (https://github.com/DLR-RM/BlenderProc). Eight different YCB objects were used. All these objects have a unique 6D pose, while some of the objects also have a single or multiple axes of symmetry. In each sequence maximum of three objects were randomly sampled. In addition, for each sequence, there are five views of the objects from external cameras placed between 2.5-3-5 m facing towards the objects. </p> <p>This dataset was used for experimental evaluation in the following<strong> </strong>ICRA 2022 paper:</p> <p><em><strong>Naik, L., Iversen, T. M., Kramberger, A., Wilm, J., & Krüger, N. (Accepted/In press). Multi-view object pose distribution tracking for pre-grasp planning on mobile robots. In 2022 IEEE International Conference on Robotics and Automation (ICRA) IEEE.</strong></em></p> <p> </p> <p><strong>Technical details:</strong></p> <p>In each sequence, the first 5 frames (0-4) contain views from external cameras while frames (5-104) provides a view of the objects visible in the robot camera as it approaches the objects. All the ground truths are provided using the 'coco' annotations format.</p>
Energy Efficiency Technologies Costs - Support File for Data Manipulation Starter Data Kits
<p>This file can be used to manipulate the Energy Efficiency Technologies Costs data for the Starter Data Kits. </p>
Storage Technologies Costs - Support File for Data Manipulation Starter Data Kits
<p>This file can be used to manipulate the storage technologies cost data for the Starter Data Kits. </p>
Human-robot co-manipulation of soft materials: enable a robot manual guidance using a depth map feedback [Dataset]
<p>Dataset used for the paper submitted to RO-MAN 2022</p> <p>Human-robot co-manipulation of soft materials: enable a robot manual guidance using a depth map feedback<br> Giorgio Nicola, Enrico Villagrossi, Nicola Pedrocchi</p>
Code and data for: Manipulating actions: a selective two-option device for cognitive experiments in wild animals
<p>Code and data for recreating survival analyses in 'Manipulating actions: a selective two-option device for cognitive experiments in wild animals'</p>
Data and code for Barrett, Martin, and Shepherd (2022) "Manipulation-specific cortical activity as mice handle food"
<p>This dataset contains the tracking data, spiking data, and ethograms necessary to reproduce the results of Barrett, Martin, and Shepherd (2022) "Manipulation-specific cortical activity as mice handle food". Also included is Matlab and R code that generates all of the figures, tables, and stats in the aforementioned paper.</p>
Pretty cool beetles: Can manipulation of visible and near-infrared sunlight prevent overheating?
<p>Passive thermoregulation is an important strategy to prevent overheating in thermally challenging environments. Can the diversity of optical properties found in Christmas beetles (Rutelinae) be an advantage to keep cool? We measured changes in temperature of the elytra of 26 species of Christmas beetles, exclusively due to direct radiation from a solar simulator in visible (VIS: 400–700 nm) and near-infrared (NIR: 700–1700 nm) wavebands. Then, we evaluated if the optical properties of elytra could predict their steady state temperature and heating rates while controlling for size. We found that higher absorptivity increases the heating rate and final steady state of the beetle elytra in a biologically significant range (3 to 5°C). There was substantial variation in the absorptivity of Christmas beetle elytra; this variation was achieved by different combinations of reflectivity and transmissivity in both VIS and NIR. The size was an important factor in predicting the change in temperature of the elytra after 5 min (steady state) but not the maximum heating rate. Lastly, we show that the presence of the elytra covering the body of the beetle can reduce the heating of the body itself. We propose that beetle elytra can act as a semi-insulating layer to enable passive thermoregulation through high reflectivity of elytra, resulting in low absorptivity of solar radiation. Alternatively, if beetle elytra absorb a high proportion of solar radiation, they may reduce heat transfer from the elytra to the body through behavioural or physiological mechanisms.</p>
REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5-2. Cable grasping. Data related to a paper published in MDPI Electronics 2021
<p>The datasets contain data for the normalization of tactile voltages, the training dataset for the diameter classifier, and data recorded during the experiment related to the publication:</p> <p>A. Cirillo, G. Laudante, and S. Pirozzi, “Tactile sensor data interpretation for estimation of wire features,” Electronics, vol. 10, no. 12, art. 1458, June 2021. (DOI: 10.3390/electronics10121458)</p>
REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5-2. Cable grasping. Data related to a paper for the conference ICPS2022
<p>The datasets contain data related to the experiments presented in the publication:</p> <p>A. Cirillo, G. Laudante, and S. Pirozzi, “Wire Grasping by Using Proximity and Tactile Data,” 5th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2022. (DOI: 10.1109/ICPS51978.2022.9816936)</p>
REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5-2. Cable grasping. Data related to a paper published in IEEE Access 2021
<p>The datasets contain images for the training and testing of algorithms presented in the publication:</p> <p>Cirillo, P., Laudante, G., Pirozzi, S. “Vision-Based Robotic Solution for Wire Insertion with an Assigned Label Orientation” (2021) IEEE Access, 9, art. no. 9490630, pp. 102278-102289. DOI: 10.1109/ACCESS.2021.3098472</p>
REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5-2. Cable grasping. Data related to a paper published on RA-L (2022)
<p>The dataset contains data related to the following publication:</p> <p>Costanzo, M., De Maria, G., Natale, C., Russo, A., “Stability and Convergence Analysis of 3D Feature-Based Visual Servoing”, (2022) IEEE Robotics and Automation Letters, pp. 1-8. (DOI: 10.1109/LRA.2022.3211154)</p>
Timed abstractions for distributed cooperative manipulation
<p>The video presents a simulation experiment in the V-REP environment of the timed abstractions notion of cooperative manipulation. More specifically, given a discrete partition of the workspace, a timed plan is derived over this partition that satisfies a Metric Interval Temporal Logic (MITL) formula for an object. Two robotic agents transport the object cooperatively among the partitioned regions in a distributed manned, without communicating with each other, according to the derived timed plan.</p>
Resource manipulation reveals interactive phenotype-dependent foraging in free-ranging lizards
<p>Recent evidence suggests that individuals differ in foraging tactics and this variation is often linked to an individual's behavioural type (BT). Yet, while foraging typically comprises a series of search and handling steps, empirical investigations have rarely considered BT-dependent effects across multiple stages of the foraging process, particularly in natural settings.</p> <p>In our long-term sleepy lizard (Tiliqua rugosa) study system, individuals exhibit behavioural consistency in boldness (measured as an individual's willingness to approach a novel food item in the presence of a threat) and aggressiveness (measured as an individual's response to an 'attack' by a conspecific dummy). These BTs are only weakly correlated and have previously been shown to have interactive effects on lizard space use and movement, suggesting that they could also affect lizard foraging performance, particularly in their search behaviour for food.</p> <p>To investigate how lizards' BTs affect their foraging process in the wild, we supplemented food in 123 patches across a 120-ha study site with three food abundance treatments (high, low, and no-food-controls). Patches were replenished twice a week over the species' entire spring activity season and feeding behaviours were quantified with camera traps at these patches. We tracked lizards using GPS to determine their home range (HR) size and repeatedly assayed their aggressiveness and boldness in designated assays.</p> <p>We hypothesised that bolder lizards would be more efficient foragers while aggressive ones would be less attentive to the quality of foraging patches. We found an interactive BT effect on overall foraging performance. Individuals that were both bold and aggressive ate the highest number of food items from the foraging array. Further dissection of the foraging process showed that aggressive lizards in general ate the fewest food items in part because they visited foraging patches less regularly, and because they discriminated less between high and low-quality patches when revisiting them. Bolder lizards, in contrast, ate more tomatoes because they visited foraging patches more regularly, and ate a higher proportion of the available tomatoes at patches during visits.</p> <p>Our study demonstrates that BTs can interact to affect different search and handling components of the foraging process, leading to within-population variation in foraging success. Given that individual differences in foraging and movement will influence social and ecological interactions, our results highlight the potential role of BT's in shaping individual fitness strategies and population dynamics.</p>
Fig. 1 in Experimental manipulation reveals few subclinical impacts of a parasite community in juvenile kangaroos
Fig. 1. Mean faecal egg counts for control and anthelmintic-treated juvenile eastern grey kangaroos in two periods post-capture (12–33 days) and initial treatment (40– 90 days) at the Anglesea Golf Club, Victoria, Australia, from March to May 2012. Bars indicate standard errors. It was not always possible to sample each individual in each period; numbers on columns indicate sample size for each time period.
Fig. 2 in Host manipulation in the face of environmental changes: Ecological consequences
Fig. 2. Examples of the impacts of temperature on a system of gammarid species infected by acanthocephalan parasites. Final host varies depending on parasite species (either a fish or a bird). Solid lines represent assumption supported by studies, while dotted lines are expectations that remain to be investigated. In this system, (1) the temperature widely influences the time of development or parasites within the intermediate hosts, which is likely to be driven by the metabolic rate of parasites (Tokeson and Holmes, 1982). Several studies suggested that (2) the time of development of parasites is linked to the intensity of their manipulation (Franceschi et al., 2010b, 2008), which in turn might (3) influence the increase of predation rate between the final host and the intermediate host. (4) Temperature is also likely to influence the final host metabolism (Bystr¨om et al., 2006), (5) influencing its predation rate (Bystr¨om et al., 2006). Altogether, (6) modifications in manipulation and predation rates are likely to induce changes in parasites' population. Meanwhile, (7) temperature also affects the metabolism of gammarid hosts (Issartel et al., 2005), inducing changes in their food consumption (Pellan et al., 2015). (8) Given that infection depends on food consumption, the risk of infection might vary accordingly, affecting parasites' population. Although its direct effect has not been investigated yet, (9) temperature is also likely to alter the intensity of manipulation, for instance through its effect on hosts' metabolism and activity, and therefore (10) secondarily impact parasite population dynamic.
Fig. 1 in Host manipulation in the face of environmental changes: Ecological consequences
Fig. 1. Schematic representation of all the interacting factors in a system involving parasite manipulation. The intensity of host manipulation induced by parasites is likely to be influenced by a variety of parameters concerning the parasites, their hosts and environmental properties. In return, manipulation can also have an impact on those parameters. Moreover, all components in the systems also interact with each other.
Manipulation of netCDF data with R for climate change research: Multi-model analysis for CMIP5 models.
<p>Geoscientists now live in a world with an exponential growth in digital data and methods.<br> Climate change studies usually describe computational methods informally. Climate scientists seek to<br> share their information, the justification of reproducible research has received increasing attention in<br> geosciences. To have it in an open-source format makes it easier to interchange not only with fellow<br> scientists but also a variety of sources including funders, publishers, and journalists. R is a open-source<br> computer language powerful and highly extensible that can promotes reproductive science techniques in a<br> easier way. R is highly accessible for non-computational scientists when coupled with packages like<br> ‘raster', ‘netcdf', ´rgdal`and ‘rasterVis', R enables scientists to make sense of their data and to carry out<br> complex data analysis. In this paper we have assessed the power of R language for manipulating climate<br> data from a huge dataset: the Coupled Model Intercomparison Project Phase 5 (CMIP5). Moreover we<br> have proposed an example of best practices to handle model ensembles. This is the first study to our<br> knowledge to promote best practices for CMIP5 ensemble. The NetCDF data accessible to R via raster<br> package capabilities provides efficient access to the multi-model, with crucial applications in climate<br> change research. In recent years more than 100 peer-reviewed scientific publications have used the<br> CMIP5 data sets. We envision that in the near future (5-10 years), scientists will use radically new tools<br> to author papers and disseminate information about the process and products of their research.</p>
Data for: Two-Sided Matching for mentor-mentee allocations - Algorithms and manipulation strategies
<p>These are the data files for the PLOS ONE journal article "Two-Sided Matching for mentor-mentee allocations - Algorithms and manipulation strategies".</p> <p>Three files are provided:</p> <p>- Data.xlsx: An overview of the original preferences of mentors and mentee, a data dictionary, and two summary tables used to create figures in the manuscript</p> <p>- MatchingTables.csv: The outcome matching tables for each simulated scenario and repetition</p> <p>- Preferences.csv: The (un)manipulated preferences that were used as input to calculate the solution for each simulated scenario and repetition.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.