{"id":"W4388511483","doi":"10.18280/jesa.560505","title":"Navigation and Path Planning of Mobile Robots","year":2023,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile robot; Motion planning; Computer science; Path (computing); Mobile robot navigation; Robot; Human–computer interaction; Artificial intelligence; Robot control; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003303394,0.0007266717,0.0004235576,0.0006067522,0.0005228287,0.001214393,0.0006912418,0.001029172,0.00274724],"category_scores_gemma":[0.001944523,0.0003402063,0.0005032329,0.001098973,0.001252039,0.001229474,0.00104873,0.0009771977,0.0008081713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006585007,"about_ca_system_score_gemma":0.001123138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004773835,"about_ca_topic_score_gemma":0.002932445,"domain_scores_codex":[0.9996039,0.0001291351,0.00001920554,0.00008677406,0.0001365319,0.00002448135],"domain_scores_gemma":[0.9996824,0.0001542962,0.00004518564,0.00003064635,0.00007114578,0.00001638755],"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":[0.00004380713,0.00002491073,0.0006322924,0.0003629601,0.00003634105,0.0001544166,0.0002579719,0.5669298,0.002446687,0.2385666,0.003423649,0.1871206],"study_design_scores_gemma":[0.00001400605,0.00008973762,0.0005553186,0.000126093,0.00001811823,0.0002402282,0.0001510406,0.7043414,0.00149209,0.2351064,0.05783169,0.00003398849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005902254,0.005969502,0.9717169,0.0006379813,0.0001641193,0.00007397494,0.0001402521,0.0002563983,0.0151385],"genre_scores_gemma":[0.3229155,0.01595352,0.6422938,0.0002404033,0.0003605414,0.0004323774,0.0006044869,0.000141375,0.01705809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004773835,"threshold_uncertainty_score":0.009492099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0409347945004074,"score_gpt":0.2967729456780566,"score_spread":0.2558381511776492,"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."}}