{"id":"W7133297058","doi":"10.65521/ijmer.v13i1.98","title":"Robotic Swarm Intelligence: Coordination and Collaboration in Multi-Robot Systems","year":2025,"lang":"","type":"article","venue":"International Journal on Mechanical Engineering and Robotics","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Greenfield Research (Canada)","funders":"","keywords":"Swarm robotics; Swarm behaviour; Adaptability; Task (project management); Swarm intelligence; Field (mathematics); Key (lock); Robotics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001238616,0.0004194084,0.0005676773,0.0009337538,0.0001592915,0.001799984,0.0008128751,0.000337533,0.000002586575],"category_scores_gemma":[0.0009722643,0.0004206978,0.00009114,0.0007289546,0.0000430979,0.0005767688,0.0002863834,0.0009511351,0.000009642297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006825714,"about_ca_system_score_gemma":0.0002145518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003319265,"about_ca_topic_score_gemma":0.00001087228,"domain_scores_codex":[0.9966608,0.0002066757,0.001305355,0.0005965448,0.0007765309,0.0004541172],"domain_scores_gemma":[0.9978876,0.0004427029,0.0003714521,0.0002575365,0.000757644,0.0002831194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004046862,0.0002068024,0.00007454876,0.00007292607,0.0001806436,0.0001208891,0.0001202686,0.8260034,0.0007835758,0.16561,0.00003446236,0.006752064],"study_design_scores_gemma":[0.001610095,0.0001843328,0.0005900892,0.001864112,0.00004976444,0.0001957697,0.0001710409,0.9939802,0.0002353766,0.0003857853,0.0003898203,0.0003435933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002041107,0.001950451,0.9756219,0.006310923,0.01355646,0.000422625,0.00001182698,0.00006059651,0.00002416386],"genre_scores_gemma":[0.985441,0.00103798,0.01267149,0.0001556136,0.000278672,0.00001611807,0.000007930691,0.00002340109,0.0003678436],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9833999,"threshold_uncertainty_score":0.9998245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786612387204401,"score_gpt":0.2877538957591101,"score_spread":0.2698877718870661,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}