{"id":"W1971809461","doi":"10.1109/isic.2014.6967643","title":"Multi-robot charged system search-based optimal path planning in static environments","year":2014,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Motion planning; Mobile robot; Mathematical optimization; Robot; Path (computing); Computer science; Set (abstract data type); Any-angle path planning; Population; Spare part; Holonomic; Artificial intelligence; Mathematics; 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":[0.0005109648,0.0006153762,0.0005978519,0.0005527921,0.0005932229,0.0005699046,0.0008303389,0.0006374342,0.001433196],"category_scores_gemma":[0.0009557547,0.000383962,0.0004591463,0.0005427527,0.0006108729,0.0006450942,0.0009523319,0.0004651574,0.0002158364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000630311,"about_ca_system_score_gemma":0.001152649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003286527,"about_ca_topic_score_gemma":0.002793586,"domain_scores_codex":[0.9997403,0.0000852911,0.00001096484,0.00004477258,0.00008428729,0.00003440194],"domain_scores_gemma":[0.9997128,0.0001346367,0.00003963115,0.00002168419,0.00006602166,0.00002517195],"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":[0.00004123589,0.00002315343,0.0003458991,0.00004998205,0.0000247775,0.00005472278,0.00005335852,0.9450573,0.002349004,0.0103086,0.0005390376,0.04115301],"study_design_scores_gemma":[0.000009637951,0.00004354649,0.00007695504,0.00000398165,0.000004544776,0.00001762168,0.00001084813,0.9954394,0.0005339507,0.00300667,0.0008476897,0.000005153071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01626283,0.0001873796,0.9805992,0.00006400125,0.00003103506,0.00003897578,0.00001332723,0.0001823129,0.002620999],"genre_scores_gemma":[0.6322526,0.0002486548,0.3636756,0.00008830552,0.00002571759,0.0002686997,0.00008138965,0.00008379755,0.003275224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003286527,"threshold_uncertainty_score":0.006534815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03307913289432141,"score_gpt":0.2640973620801707,"score_spread":0.2310182291858493,"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."}}