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Record W2320184521 · doi:10.22260/isarc2011/0051

Multi-Agent-Based Approach for Real-Time Collision Avoidance and Path Re-Planning on Construction Sites

2011· article· en· W2320184521 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProceedings of the ... ISARC · 2011
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of CanadaInstitut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail
KeywordsCollision avoidanceComputer scienceNegotiationMotion planningCollisionPath (computing)DownloadMulti-agent systemOperations researchControl (management)Work (physics)Distributed computingComputer securityArtificial intelligenceEngineeringComputer networkWorld Wide WebRobot

Abstract

fetched live from OpenAlex

Collisions on construction sites are one of the major causes of fatal accidents. The complexity of equipment operations require detailed planning and better real-time control of the work. Research involving artificial intelligence in construction industry has been done to enhance communication between team workers and resolve distributed problems, for example, agent systems have been used for construction claims and dynamic rescheduling negotiation. However, little research has focused on real-time control of construction equipment operations using agents to improve safety on site. The present paper proposes a multi-agent-based approach to provide real-time support to the construction staffs. Collision avoidance is achieved by informing workers and equipment operators about potential collisions, and by providing replanning for equipment. A prototype system has been developed to and the functionalities of different agents are successfully tested.

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.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score0.382

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 head0.029
GPT teacher head0.220
Teacher spread0.191 · 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