MétaCan
Menu
Back to cohort
Record W2799569726 · doi:10.1139/tcsme-2016-0014

DESIGN AND DEVELOPMENT OF AN AUTONOMOUS OMNIDIRECTIONAL HAZARDOUS MATERIALS HANDLING ROBOT

2016· article· en· W2799569726 on OpenAlexaffvenue
Nicholas Charabaruk, Scott Nokleby

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2016
Typearticle
Languageen
FieldComputer Science
TopicRobotic Path Planning Algorithms
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsRobotOmnidirectional antennaSimulationComputer scienceSoftwareMobile robotReal-time computingEngineeringEmbedded systemArtificial intelligence

Abstract

fetched live from OpenAlex

This paper describes the design and testing of an autonomous omnidirectional robot to be used for moving radioactive materials while minimizing human exposure. The robot, called the OmniMaxbot, uses the Robot Operating System (ROS) to allow the individual components to communicate as well as to control the movement. Details about the hardware and software used in the OmniMaxbot are explained. Test results are presented for the navigation system based on the ROS packages: Global Planner, Base Local Planner, and Adaptive Monte Carlo Localization (AMCL). The test results confirm that the OmniMaxbot is capable of autonomously navigating to a mock ash can, lifting it, navigating to a drop-off location, putting the mock ash can down, backing away until the forks are clear of the mock ash can, and navigating to a standby location. These actions can be performed in areas with both static and dynamic obstacles.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.316
Threshold uncertainty score0.298

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.214
Teacher spread0.192 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueTransactions of the Canadian Society for Mechanical EngineeringSame topicRobotic Path Planning AlgorithmsFrench-language works237,207