Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
47
datasets available to search
ShareScore release 0.9.0
Dataset results
47 results for “mobile robots”
Promoting Upright Mobility in Infants With Cerebral Palsy Using a Robotic Unweighting System
ClinicalTrials.gov study NCT06593886. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Robotic Assisted Early Mobilization in Ventilated ICU Patients With COVID-19
ClinicalTrials.gov study NCT04750265. IPD Sharing: YES. Countries: 1. Publications: 0.
Robotics for Mobility Rehabilitation in MS
ClinicalTrials.gov study NCT05102682. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effect of Mobile Application Robot Developed for Pediatric Diabetes Management on Children With Diabetes Mellitus
ClinicalTrials.gov study NCT05333393. IPD Sharing: NO. Countries: 1. Publications: 0.
Human Robotic Systems (HRS): Extreme Terrain Mobility Element
<p>During 2014, the <em>Extreme Terrain Mobility </em>project element is developing five technologies:</p><ul><li>Exoskeleton Development for ISS Evaluation</li><li>Extreme Terrain Mobility Testbed</li><li>Low Gravity Testbed using Tethered Stewart Platform</li><li>Prototype Crater Access Robot</li><li>Advanced Mobility Navigation Software</li></ul><p><strong>Exoskeleton Development for ISS Evaluation</strong></p><p>During FY12, HRS and GCD developed the X1 exoskeleton with the ultimate intent of augmenting crew endurance/strength in future missions.&nbsp; Offshoots of the technology involved lightweight exercise devices for ISS and strength measurement by using the torque sensing in the X1&rsquo;s joints.&nbsp; The objective for exoskeleton development in FY14 is to build prototype exoskeleton ankles and deliver them to the JSC space and life sciences organization for evaluation as exercise devices and to design a single-joint knee dynamometer, based on X1 technologies, capable of measuring crew strength.&nbsp;</p><p><strong>Extreme Terrain Mobility Testbed</strong></p><p>The objective of FY14 work is to present mature systems that are ready to be carried forward by a Science Mission Directorate Principal Investigator (PI) willing to propose a system with greater mobility than exists on current Mars rovers.&nbsp; HRS has recently identified a potential national need with the National Science Foundation (NSF) that requires no-emission vehicles, such as NASA rovers, on the Arctic, Antarctic, Alaska and polar coastal areas.&nbsp; We have an opportunity to deploy NASA Space Technologies to these areas. Minimal success requires disseminating results to potential SMD PIs and potential partners within the NSF polar program.&nbsp; Early in fiscal year 2014, the HRS extreme terrain mobility group will prepare an Analysis of Alternatives study of a 170 kg rover for the Advance Exploration System (AES) Resource Prospector (RP).</p><p><strong>Low Gravity Testbed using Tethered Stewart Platform</strong></p><p>This task creates a 6-DOF testbed for evaluating microgravity and low-gravity proximity and contact operations, e.g. in the vicinity of a Near Earth Asteroid (NEA). This is accomplished using an &quot;inverted Stewart platform&quot;, where the vehicle under test is suspended by six computer-controlled cable winches so that it can be maneuvered in all 6 Degrees-of-Freedom.</p><p><strong>Prototype Crater Access Robot</strong></p><p>This task will develop and demonstrate a &ldquo;mother-daughter&rdquo; approach to exploring craters using tethered robots.&nbsp; The small robots will be tethered to the larger robot with winches on both ends so that the &ldquo;mother&rdquo; can recover the &ldquo;daughter&rdquo; even in the event of failure of the small robot.&nbsp; In normal operation, the daughter robot will pay out the tether to move further away, and spool it back in to return.&nbsp; In FY13, this task demonstrated deployment of the daughter robot with an internal winch on a tether. The daughter robot is designed to move on steep slopes, up to vertical, to carry and point close-up instruments, and to collect samples.&nbsp; In FY14, this task will design and build a tether that provides power from the mother robot to the daughter robot and provides for communications between them.</p><p><strong>Advanced Mobility Navigation Software</strong></p><p>The Advanced Navigation Software task is developing approaches for dealing with the significant challenges of autonomous planetary surface navigation, including descent on rough and steep terrain, exploring lava tubes, navigating long distances without co
A Mobile Robot Testbed for Prognostics-Enabled Autonomous Decision Making
The ability to utilize prognostic system health information in operational decision making, especially when fused with information about future operational, environmental, and mission requirements, is becoming desirable for both manned and unmanned aerospace vehicles. A vehicle capable of evaluating its own health state and making (or assisting the crew in making) decisions with respect to its system health evolution over time will be able to go further and accomplish more mission objectives than a vehicle fully dependent on human control. This paper describes the development of a hardware testbed for integration and testing of prognostics-enabled decision making technologies. Although the testbed is based on a planetary rover platform (K11), the algorithms being developed on it are expected to be applicable to a variety of aerospace vehicle types, from unmanned aerial vehicles and deep space probes to manned aircraft and spacecraft. A variety of injectable fault modes is being investigated for electrical, mechanical, and power subsystems of the testbed. A software simulator of the K11 has been developed, for both nominal and off-nominal operating modes, which allows prototyping and validation of algorithms prior to their deployment on hardware. The simulator can also aid in the decision-making process. The testbed is designed to have interfaces that allow reasoning software to be integrated and tested quickly, making it possible to evaluate and compare algorithms of various types and from different sources. Currently, algorithms developed (or being developed) at NASA Ames - a diagnostic system, a prognostic system, a decision-making module, a planner, and an executive - are being used to complete the software architecture and validate design of the testbed.
Development of a Mobile Robot Test Platform and Methods for Validation of Prognostics-Enabled Decision Making Algorithms
As fault diagnosis and prognosis systems in aerospace applications become more capable, the ability to utilize information supplied by them becomes increasingly important. While certain types of vehicle health data can be effectively processed and acted upon by crew or support personnel, others, due to their complexity or time constraints, require either automated or semi-automated reasoning. Prognostics-enabled Decision Making (PDM) is an emerging research area that aims to integrate prognostic health information and knowledge about the future operating conditions into the process of selecting subsequent actions for the system. The newly developed PDM algorithms require suitable software and hardware platforms for testing under realistic fault scenarios. The paper describes the development of such a platform, based on the K11 planetary rover prototype. A variety of injectable fault modes are being investigated for electrical, mechanical, and power subsystems of the testbed, along with methods for data collection and processing. In addition to the hardware platform, a software simulator with matching capabilities has been developed. The simulator allows for prototyping and initial validation of the algorithms prior to their deployment on the K11. The simulator is also available to the PDM algorithms to assist with the reasoning process. A reference set of diagnostic, prognostic, and decision making algorithms is also described, followed by an overview of the current test scenarios and the results of their execution on the simulator.
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.