{"id":"W2160231487","doi":"10.1109/iros.1994.407553","title":"Map updating and path planning for real-time mobile robot navigation","year":2002,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Mobile robot; Computer science; Grid reference; Motion planning; Mobile robot navigation; Histogram; Computer vision; Artificial intelligence; Representation (politics); Grid; Robot; Plan (archaeology); Path (computing); Real-time computing; Robot control; Image (mathematics); Geography","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":[0.0002866299,0.0004779538,0.000273681,0.0005791268,0.0004341506,0.0006744305,0.0008928686,0.0006011858,0.00506183],"category_scores_gemma":[0.001786361,0.000274344,0.0002919217,0.0008518663,0.0004760889,0.001495058,0.0005794388,0.0007498919,0.001610823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004488914,"about_ca_system_score_gemma":0.0007192108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005575807,"about_ca_topic_score_gemma":0.004829032,"domain_scores_codex":[0.9996916,0.00008614206,0.00001847339,0.00006234468,0.0001234134,0.00001798886],"domain_scores_gemma":[0.9995404,0.0002101615,0.00003428052,0.00008718494,0.0001082788,0.00001955951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001386051,0.00006597421,0.0004871012,0.0002372266,0.00004716192,0.0001329618,0.0001281002,0.1664783,0.01265616,0.04857317,0.01160595,0.7594493],"study_design_scores_gemma":[0.00003508862,0.00007450482,0.0005016226,0.00002870946,0.00003020542,0.000240344,0.00004576406,0.9028018,0.01142973,0.0371771,0.04760027,0.00003486956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001907293,0.0003051503,0.9941327,0.00006533181,0.00004567842,0.00001688579,0.00004642161,0.001672516,0.001807888],"genre_scores_gemma":[0.1073567,0.0007372625,0.8865374,0.00008097009,0.00007710277,0.0001510094,0.0003024424,0.0003066813,0.004450473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005575807,"threshold_uncertainty_score":0.0169335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02376990135308124,"score_gpt":0.2645727903885802,"score_spread":0.2408028890354989,"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."}}