{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003289337,0.0006701049,0.0003681653,0.0002793989,0.0003327832,0.0005269008,0.0007657924,0.0004414694,0.001151047],"category_scores_gemma":[0.000766666,0.0002202728,0.0003279086,0.0002067859,0.0007706805,0.000483,0.0007055188,0.0005361282,0.0003771707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004689237,"about_ca_system_score_gemma":0.0005896231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004254076,"about_ca_topic_score_gemma":0.003754589,"domain_scores_codex":[0.9997948,0.00004147558,0.0000104189,0.0000405148,0.00009510983,0.00001779732],"domain_scores_gemma":[0.9997404,0.0001136698,0.00004126612,0.00003018454,0.00006225741,0.00001224617],"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":[0.00009563888,0.00003896075,0.0003386272,0.0001573024,0.00002849736,0.0001391369,0.0001027796,0.8691493,0.01943566,0.03438746,0.0006237348,0.07550279],"study_design_scores_gemma":[0.00001279748,0.00004958436,0.00006411481,0.000005763844,0.000005855409,0.00002380184,0.000006323036,0.9933936,0.001460598,0.003953188,0.00101727,0.000007180179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007415259,0.0001322154,0.9900157,0.00007937916,0.00003245103,0.00001967941,0.000009364687,0.0001793909,0.002116585],"genre_scores_gemma":[0.7204801,0.0003936626,0.2725971,0.0001295021,0.00006576538,0.0001499975,0.00006595991,0.00004984883,0.006067941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004254076,"threshold_uncertainty_score":0.008458614,"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."}}