{"id":"W3206454137","doi":"10.1109/lra.2022.3189164","title":"Lifelong Topological Visual Navigation","year":2022,"lang":"en","type":"article","venue":"IEEE Robotics and Automation Letters","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Spurious relationship; Computer science; Graph; Topological graph; Topological map; Topology (electrical circuits); Artificial intelligence; Real-time computing; Computer vision; Theoretical computer science; Machine learning; Mathematics; Robot; Mobile robot","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":[0.0003863213,0.0008342707,0.0006060688,0.0006135842,0.0005673008,0.0006831875,0.001662465,0.0008532957,0.004095619],"category_scores_gemma":[0.002668797,0.000414537,0.0003971421,0.0003780122,0.0008033717,0.00178225,0.001834235,0.0007053256,0.001010134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005510973,"about_ca_system_score_gemma":0.0007308031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003467621,"about_ca_topic_score_gemma":0.00847119,"domain_scores_codex":[0.9996939,0.00005274178,0.00001410062,0.0001134385,0.00008127669,0.00004469453],"domain_scores_gemma":[0.9982672,0.0004475567,0.0002242223,0.0006146102,0.0003156323,0.0001308236],"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":[0.0002316546,0.0001779938,0.002730587,0.0002316045,0.00007857631,0.0001715783,0.0003036886,0.6066861,0.02413485,0.02015576,0.007185978,0.3379117],"study_design_scores_gemma":[0.00002063512,0.0001665428,0.0005966182,0.00001721587,0.00001375357,0.0001076898,0.00007455878,0.9721185,0.005650373,0.01618598,0.005025433,0.00002262256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03588039,0.0001715896,0.9587682,0.0001119873,0.00004936741,0.00005589863,0.0001109381,0.002620495,0.002231136],"genre_scores_gemma":[0.7737091,0.0001908674,0.2203435,0.0001522045,0.0000309481,0.0001460273,0.0006364802,0.0004424138,0.004348404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004095619,"threshold_uncertainty_score":0.0137012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008427013100457658,"score_gpt":0.2151380664006813,"score_spread":0.2067110533002236,"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."}}