{"id":"W6901762660","doi":"10.60692/v3xf2-xzh60","title":"Fuzzy-Based Distributed Behavioral Control With Wall-Following Strategy for Swarm Navigation in Arbitrary-Shaped Environments","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Swarm behaviour; Swarm robotics; Maxima and minima; Control (management); Obstacle avoidance; Robot; Obstacle","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":[0.0002648942,0.000425829,0.0002661026,0.0002190678,0.0003939153,0.0004368921,0.0006465588,0.0003732405,0.0006827491],"category_scores_gemma":[0.0004474534,0.0001257694,0.0002710977,0.0001581998,0.0004335164,0.0003262802,0.0003639974,0.0003010948,0.0001118387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004195629,"about_ca_system_score_gemma":0.000511284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005689353,"about_ca_topic_score_gemma":0.005973035,"domain_scores_codex":[0.9998534,0.00002315787,0.000008210739,0.00003866084,0.0000563853,0.00002012841],"domain_scores_gemma":[0.9998232,0.00004128544,0.00003693426,0.00001605058,0.00006128453,0.00002136525],"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":[0.0001859333,0.0001533038,0.001310986,0.0001097122,0.00005617102,0.0002091635,0.0002923591,0.8118072,0.04398773,0.01665584,0.001058807,0.1241727],"study_design_scores_gemma":[0.00002379177,0.0001230622,0.0003547366,0.000005633413,0.00001204585,0.00002371986,0.00001915347,0.9948813,0.002327253,0.001577567,0.0006416009,0.00001028233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05608841,0.00009513747,0.9393715,0.00007909378,0.00005177455,0.00004308957,0.00001497984,0.0002267445,0.004029162],"genre_scores_gemma":[0.9642443,0.0000446171,0.03407232,0.00003500032,0.000008428445,0.0000566998,0.000018915,0.000007034101,0.00151273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005689353,"threshold_uncertainty_score":0.01131248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0344379826306917,"score_gpt":0.2381745515328706,"score_spread":0.2037365689021789,"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."}}