{"id":"W2168300466","doi":"10.5772/58705","title":"Reactive Robot Navigation Utilizing Nonlinear Control","year":2014,"lang":"en","type":"article","venue":"International Journal of Advanced Robotic Systems","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Calgary","funders":"","keywords":"Computer science; Robot; Heuristic; Collision avoidance; Mobile robot; Nonlinear system; Position (finance); Fuzzy logic; Control theory (sociology); Encoding (memory); Path (computing); Motion planning; Stability (learning theory); Collision; Artificial intelligence; Real-time computing; Computer vision; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005932,0.0001922153,0.0004154831,0.0002788431,0.00007207101,0.0002282764,0.001456129,0.00007840481,0.000001655461],"category_scores_gemma":[0.0005179026,0.0001684136,0.0001460531,0.0001931174,0.00003999187,0.001153119,0.00008081628,0.0003176389,0.00003044863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000247526,"about_ca_system_score_gemma":0.0001095559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001487314,"about_ca_topic_score_gemma":2.187506e-7,"domain_scores_codex":[0.9973036,0.0002186149,0.0008763236,0.0002668782,0.001077248,0.0002573463],"domain_scores_gemma":[0.9965502,0.0005390599,0.001171113,0.0003098658,0.001275987,0.0001537838],"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":[0.00003380151,0.00006075259,0.0004292523,0.000010051,0.000149782,0.000120763,0.0003512758,0.9808108,0.00349606,0.00357985,0.00005528106,0.01090236],"study_design_scores_gemma":[0.001883897,0.0002356959,0.00127963,0.0006776846,0.00002228362,0.001788795,0.0002229558,0.9914671,0.0005701787,0.0005082394,0.001131432,0.0002120913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005349634,0.0002413998,0.9832376,0.0007392787,0.00968401,0.0001419666,0.000002341922,0.00006208223,0.0005416636],"genre_scores_gemma":[0.7600503,0.000006215358,0.2387772,0.0001144734,0.0009587216,0.000004272681,0.000003546903,0.00001508936,0.00007014872],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7547007,"threshold_uncertainty_score":0.6867706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273078915804852,"score_gpt":0.2748784463141197,"score_spread":0.2621476571560712,"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."}}