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153 results for “robot control”

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zenodo28/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 06

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 47

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 05

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 46

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 04

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 45

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 23

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Jun 2020View details →
zenodo28/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 20

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Jun 2020View details →
zenodo28/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 21

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Jun 2020View details →
zenodo28/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 18

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Jun 2020View details →
zenodo28/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 16

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Jun 2020View details →
zenodo28/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 15

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Jun 2020View details →
zenodo28/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 26

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Aug 2020View details →
zenodo28/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 29

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Aug 2020View details →
zenodo28/100

Social cues of a robot and cognitive control

<p>The data presented here are reported in Ciardo &amp; Wykowska 2020 submitted to Jornal of Cognition.&nbsp;<br> Please refer to that paper for context and method. We intend to upload the raw data shortly, which until then will be available upon request.</p> <p>The file includes Correct mean reaction times.</p>

opencc-by-4.0Oct 2020View details →
zenodo28/100

Data set and simulation code for "Design and Control Optimization for Hybrid-Controlled Overconstrained Cable-Driven Parallel Robots"

<p>See the attached readme file</p>

opencc-by-4.0Dec 2024View details →
zenodo28/100

A Geometric Pulling Force Controller for Aerial Robotic Workers

<p>&nbsp;This video presents a geometric, pulling force control scheme in order to enable the concept of Aerial Robotic Workers (ARWs), where the capabilities of the Unmanned Aerial Vehicles (UAVs) are enhanced by aerial manipulators in order to exert known pulling forces on the environment, with characteristic applications such as levers actuation, debris removal and safety assessments. The proposed novel approach consists of interfacing a cascaded position control scheme with a manipulation framework in such a way that the UAV, together with the manipulator are being controlled in a complete system.</p>

opencc-by-4.0Oct 2017View details →
zenodo28/100

Data set and control code for "Force-Sensor-Free Implementation of a Hybrid Position–Force Control for Overconstrained Cable-Driven Parallel Robots"

<p>See the attached readme file</p>

opencc-by-4.0Jan 2024View details →
dryad28/100

Data from: Electromyography data for non-invasive naturally controlled robotic hand prostheses

Recent advances in rehabilitation robotics suggest that it may be possible for hand-amputated subjects to recover at least a significant part of the lost hand functionality. The control of robotic prosthetic hands using non-invasive techniques is still a challenge in real life: myoelectric prostheses give limited control capabilities, the control is often unnatural and must be learned through long training times. Meanwhile, scientific literature results are promising but they are still far from fulfilling real-life needs. This work aims to close this gap by allowing worldwide research groups to develop and test movement recognition and force control algorithms on a benchmark scientific database. The database is targeted at studying the relationship between surface electromyography, hand kinematics and hand forces, with the final goal of developing non-invasive, naturally controlled, robotic hand prostheses. The validation section verifies that the data are similar to data acquired in real-life conditions, and that recognition of different hand tasks by applying state-of-the-art signal features and machine-learning algorithms is possible.

opencc-zeroDec 2013View details →
zenodo28/100

Live programming controlled experiment on state machines for robotic behaviors

<p>All the information about the controlled experiment performed on the Live Robot Programming&nbsp;language (LRP) vs SMACH (Python API), both for program comprehension and program writing</p> <ul> <li>Programs for both SMACH and LRP</li> <li>Introductory material for both SMACH and LRP</li> <li>Questionnaires</li> <li>Raw and processed data</li> </ul>

opencc-by-4.0Dec 2018View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record