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21 results for “robotic simulations”
Simulation, robot codes and figure data from collective phototactic robotectonics
<p>The collective construction of complex architectures by social insects via stigmergy is known to be modulated by spatio-time signals that modulate and are modulated by the environment. Inspired by these observations, we show that a robot collective can successfully nucleate a construction site via a trapping instability and then cooperatively either construct organized structures or de-construct them by (modifying a single parameter associated with the pick-up action of the robot). We quantify these observations in terms of a two-dimensional phase space, encompassing agent-agent interaction (cooperation) and the agent-environment interaction (collection and deposition). Our approach to complex task execution eliminates global representation, planning or optimization/control algorithms in favor of local rules for sensing and action. We observe that collectives can leverage the environment as both a communication channel and a spatio-temporal memory, which is likely to be applicable to broader contexts associated with embodied intelligence(s).</p>
Videos of evolved robot swarms in a simulated collective construction scenario
<p>The videos show robot swarms designed with population coding in an ARGoS simulation.</p> <p>In the videos 1 to 3 the swarm tries to shelter the pivot point in the middle by dragging cylinders in the gray target area.</p> <p>Viedeo 4 and 5 additionally try to collect or respectively avoid as much light as possible.</p>
Simulation, robot codes and figure data from collective phototactic robotectonics
Open the record for dataset details and reuse information.
Multimodal Agricultural Aerial and Ground Robotics Simulation Dataset
<p><strong>Dataset description</strong></p><p>This dataset was generated using an aerial robot and a ground robot in the Webots simulator with the <a href="https://github.com/opendr-eu/opendr/tree/master/projects/python/simulation">OpenDR agricultural dataset generator tool</a>.</p><p>It consists of 13980 RGB images and their semantic segmentation counterparts taken at different lighting conditions and robot positions in an agricultural field. It also includes the annotation data comprised of the class of the object, x, and y of the top left pixel of the object bounding box, and the width and height of the object bounding box. Furthermore, it includes gps and inertial unit sensor data for UAV and gps, inertial and lidar sensor data for UGV.</p><p><strong>Folder configuration</strong></p><p>The dataset contains 4 folders for different lighting conditions:</p><ul><li>noon cloudy</li><li>noon stormy</li><li>dawn cloudy</li><li>dusk</li></ul><p>Each contains UAV and UGV folders. UAV folder includes:</p><ul><li>annotations: contains segmented images in JPG files and annotations in TXT files.</li><li>camera: contains generated RGB images.</li><li>gps: contains the three-axis location of global positioning sensor saved in TXT files.</li><li>inertial unit: contains the inertial unit date in TXT files.</li></ul><p>UGV folder includes:</p><ul><li>annotations: contains segmented images in JPG files and annotations in TXT files.</li><li>front_bottom_camera: contains generated RGB images.</li><li>Hemisphere_v500: contains the three-axis location of the global positioning sensor saved in TXT files.</li><li>imu_robotti: contains the inertial unit date in TXT files.</li><li>velodyne: contains lidar data in PCD files.</li></ul><p><strong>Data format</strong></p><p>The dataset includes</p><ul><li>The inertial measurement TXT files include Euler angles in order of Roll, Pitch, and Yaw.</li><li>The GPS measurement TXT files include the robot position in x, y, and z order.</li><li>Object annotation TXT files include the class of the object, x, and y of the top left pixel of the object bounding box, and the width and height of the object bounding box at each line for the corresponding frame.</li></ul><p><strong>File naming convention</strong></p><p>Each data is named "s_i{_segmented, _annotation}.ext", where:</p><ul><li><strong>s</strong> denotes the simulated time in seconds.</li><li><strong>i</strong> denotes the index counting every 10ms of simulated time.</li><li><strong>ext</strong> denotes the extension, "jpg" for images, "pcd" for lidar, and "txt" for the rest.</li><li>Labels <strong>_segmented</strong> and <strong>_annotation </strong>appended to the name for segmentation image and object annotations, respectively.</li></ul><p>Each segmented image uses the following RGB color mapping:</p><ul><li>Tree: 0.1, 0.4, 0.0</li><li>Apple Tree: 0.85, 0.49, 0.57</li><li>Cow: 0.380, 0.220, 0.137</li><li>Sheep: 0.937, 0.921, 0.862</li><li>Fox: 0.992, 0.376, 0.086</li><li>Barn: 0.625, 0.293, 0.226</li><li>Cat: 0.870, 0.580, 0.0</li><li>Deer: 0.415, 0.364, 0.302</li><li>Human: 1.0, 0.855, 0.672</li></ul>
Aerial Imagery From Flights in Robotics Simulator
<p>Dataset contains aerial images captured in a simulated 3D environment. Ortho photo images from USGS Aerial Imagery dataset was used as ground view. Gazebo simulator with PX4 flight controller software and a plane model was used to simulate flights at different altitude and trajectories over different maps.</p> <p>Each dataset is provided in a zip file, named under two character and number abbreviation, which can be interpreted by the first letter for map type (U - urban, F - forest), second letter stands for trajectory type (L - straight line, C - circular trajectory, R - rectangular trajectory) and the number stands for altitude in meters, e.g. FC-300, means forest map, circular trajectory at 300 meters altitude. Alongside image data, a text file containing CSV data is included, which contains aircraft attitude and geographical information of each image.</p> <p>Additionally, maps used for simulation environment are included in this dataset, maps of the same area captured on different years are also included, which can be used to evaluate algorithms matching against maps.</p> <p>ROS Publisher node is available in GitHub: <a href="https://github.com/jureviciusr/AIRDatasetPublisher">https://github.com/jureviciusr/AIRDatasetPublisher</a></p>
Finite Element Analysis-Based Soft Robotic Modeling: Simulating a Soft Actuator in SOFA
<p>This document represent a step by step guide for a simulation in SOFA framework of a cable driven soft robot.</p>
Robotic Cardiac Surgery Wet Lab Simulation Study
ClinicalTrials.gov study NCT05043064. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Video Gaming Improves Robotic Surgery Simulator Success
ClinicalTrials.gov study NCT05510960. IPD Sharing: NO. Countries: 1. Publications: 1.
Video Demonstrations - MQTT Enabled Simulation Interface for Motion Execution of Industrial Robots
<p>Video demonstration of two applications showing the use of the MQTT interface in VEROSIM. In the first one, a robotic simulation is recorded using the MQTT interface and later deployed on a real robot. In the second one, an external client sets target poses of the robot and obtains a simulation of the motion. </p>
Data set and simulation code for "Static workspace computation for underactuated cable-driven parallel robots"
<p>See the attached readme file</p>
A Randomized Controlled Trial of a Robotic Simulation Curriculum to Teach Robotic Suturing
ClinicalTrials.gov study NCT01811095. IPD Sharing: Not stated. Countries: 1. Publications: 1.
STIMO: Epidural Electrical Simulation (EES) With Robot-assisted Rehabilitation in Patients With Spinal Cord Injury.
ClinicalTrials.gov study NCT02936453. IPD Sharing: YES. Countries: 1. Publications: 8.
Assessment of the Transferability of Skills From Robotic to Laparoscopic Simulation Platforms
ClinicalTrials.gov study NCT02370407. IPD Sharing: Not stated. Countries: 0. Publications: 1.
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>
The Robot Basal Ganglia: Simulated Dopamine Regulation of Behaviour in a Neurorobotic Model
<p>Supplementary Video for the article "Simulated dopamine modulation of a neurorobotic model of the basal ganglia"</p> <p>00:07. Part 1: Rat behaviour in an open arena.<span> </span></p> <p>00:47. Part 2: Robot behavior.<span> </span></p> <p>02:08. Part 3: Inside the model.<span> </span></p> <p>04:00. Part 4: Low simulated dopamine—Slowness and cessation of movement.<span> </span></p> <p>04:38. Part 5: Low simulated dopamine—A behavioral trap.<span> </span></p> <p>05:11. Part 6: High simulated dopamine—Distortion causes behavioral disintegration.</p>
Comparison of Dry-lab Laparoscopic Training and Robotic Virtual Simulator
ClinicalTrials.gov study NCT04989881. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessment of Educational Effect of Home-made Robotic Surgery Simulator for Novice Robotic Surgeons
ClinicalTrials.gov study NCT03067532. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Preoperative Simulator Warmup on Intraoperative Robotic Surgical Skills
ClinicalTrials.gov study NCT01969487. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Validation Study for Robotic Surgery Simulator
ClinicalTrials.gov study NCT01618994. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Laypersons Cannot Select Preferred Surgeon Based on Videos of Simulated Robot-assisted Radical Prostatectomies
ClinicalTrials.gov study NCT05607485. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.