{"id":"W2027444072","doi":"10.1109/iccse.2014.6926456","title":"Autonomous and cooperative multirobot system for multi-object transportation","year":2014,"lang":"en","type":"article","venue":"","topic":"Artificial Immune Systems Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Robot; Computer science; Task (project management); Object (grammar); Distributed computing; Set (abstract data type); Artificial intelligence; Robot kinematics; Autonomous robot; Mobile robot; Human–computer interaction; Real-time computing; Engineering; Systems engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000293761,0.0003617526,0.0004150634,0.0003074129,0.0005414286,0.0004680567,0.0009230109,0.0006560811,0.001547933],"category_scores_gemma":[0.0003973197,0.0001223593,0.0004081474,0.0002699667,0.0003216444,0.0005936691,0.000678986,0.0004828228,0.0004351902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003642105,"about_ca_system_score_gemma":0.0005924428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008190759,"about_ca_topic_score_gemma":0.0007887829,"domain_scores_codex":[0.9997537,0.00005373945,0.00001360376,0.00006348259,0.000088019,0.00002743884],"domain_scores_gemma":[0.9998251,0.00004058525,0.00002830145,0.00002768273,0.00006113801,0.00001732095],"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":[0.0001858229,0.0002641993,0.001953871,0.0004023517,0.0001553827,0.0006221919,0.0003745176,0.5550609,0.1224778,0.05026169,0.004994268,0.2632471],"study_design_scores_gemma":[0.00002875344,0.0002397086,0.0005745086,0.00001315608,0.00003523466,0.0002164903,0.00004641351,0.9710408,0.01008526,0.005487662,0.01221003,0.0000218768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02859983,0.0005226739,0.9653434,0.0001564149,0.00009668707,0.0000992997,0.00002466095,0.0004857996,0.004671399],"genre_scores_gemma":[0.6773406,0.000475701,0.3125808,0.0001439753,0.00007096842,0.0003562904,0.0001524644,0.00003916379,0.008840055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001547933,"threshold_uncertainty_score":0.005178332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072661821416269,"score_gpt":0.2466892143454124,"score_spread":0.2259625961312497,"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."}}