{"id":"W1653406877","doi":"10.1109/robot.2002.1014347","title":"A non-time based tracking controller for multiple nonholonomic mobile robots","year":2003,"lang":"en","type":"article","venue":"","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Teleoperation; Nonholonomic system; Control theory (sociology); Controller (irrigation); Mobile robot; Computer science; Control engineering; Robot; Tracking (education); Automation; Motion control; Event (particle physics); Engineering; Control (management); Artificial intelligence","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":[0.0004306849,0.0006027133,0.0004322137,0.000316477,0.0004010381,0.0005249972,0.001116232,0.0006701368,0.001316941],"category_scores_gemma":[0.0007121521,0.0001950914,0.0003665544,0.0002218115,0.0004308726,0.0005627348,0.0005033588,0.0007414586,0.0002711986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003789824,"about_ca_system_score_gemma":0.0004729741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009383726,"about_ca_topic_score_gemma":0.001001871,"domain_scores_codex":[0.9996941,0.00003492469,0.000025625,0.000084258,0.0001409325,0.00002018448],"domain_scores_gemma":[0.9996636,0.00008972648,0.00008332244,0.00003260409,0.000107499,0.00002327822],"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":[0.0004013383,0.0002334235,0.0007357778,0.0007107486,0.0001323177,0.0008464919,0.0004251958,0.2579367,0.2129735,0.03993761,0.002550031,0.483117],"study_design_scores_gemma":[0.0001409437,0.0009398833,0.0007670157,0.0000280434,0.00004663768,0.0003232592,0.00002051108,0.953178,0.02983932,0.003856726,0.01081913,0.00004055667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007407635,0.0002956652,0.9902658,0.00007502519,0.0001595081,0.0000586412,0.00001239642,0.0004188051,0.001306474],"genre_scores_gemma":[0.7538056,0.0006542711,0.2358061,0.0002020854,0.0001618502,0.0003694478,0.00008839266,0.00004307705,0.008869189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001316941,"threshold_uncertainty_score":0.004405558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007392542483156126,"score_gpt":0.1982393506982605,"score_spread":0.1908468082151044,"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."}}