{"id":"W2766218477","doi":"10.1007/s10846-017-0659-6","title":"Iterative Decentralized Planning for Collective Construction Tasks with Quadrotors","year":2017,"lang":"en","type":"article","venue":"Journal of Intelligent & Robotic Systems","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Generality; Heuristic; Computer science; Construct (python library); Iterative learning control; Mathematical optimization; Motion (physics); Artificial intelligence; Control (management); Mathematics","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":[0.0005571632,0.0005239465,0.0008650438,0.0003695567,0.0006163888,0.0005313625,0.0009398983,0.0005937896,0.00144503],"category_scores_gemma":[0.001256106,0.0005254068,0.0005070185,0.0004387573,0.0007481987,0.0006486375,0.001334609,0.0006421015,0.0002008325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005918759,"about_ca_system_score_gemma":0.0008122819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005299132,"about_ca_topic_score_gemma":0.006553806,"domain_scores_codex":[0.9997631,0.00006094363,0.0000107157,0.00006162204,0.00005448716,0.0000491567],"domain_scores_gemma":[0.9994484,0.0002896468,0.00008223283,0.00005772459,0.00006932489,0.00005266591],"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":[0.00006183099,0.00002587281,0.0003130242,0.00002759462,0.00001820277,0.0000516534,0.00005164694,0.9764662,0.002620094,0.0033999,0.0003208629,0.01664316],"study_design_scores_gemma":[0.000009027822,0.00002693976,0.00008037008,0.000001578766,0.000002504365,0.000008236616,0.000008853724,0.997665,0.0002880563,0.001768371,0.0001386724,0.000002344348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07207879,0.0001170897,0.923772,0.0000858468,0.00002829613,0.00005097418,0.00003386131,0.0002067057,0.003626439],"genre_scores_gemma":[0.9145129,0.00005304997,0.08356872,0.00002344058,0.00001102506,0.0000986283,0.00005660901,0.00003821542,0.00163747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005299132,"threshold_uncertainty_score":0.01053655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03591620619437198,"score_gpt":0.2833769622661991,"score_spread":0.2474607560718271,"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."}}