{"id":"W2133991538","doi":"10.1109/ccece.2009.5090152","title":"QBOT: An educational mobile robot controlled in MATLAB Simulink environment","year":2009,"lang":"en","type":"article","venue":"","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quanser (Canada)","funders":"","keywords":"Mobile robot; Teleoperation; Computer science; MATLAB; Obstacle avoidance; Robot control; Robotics; Obstacle; Artificial intelligence; Robot; Control engineering; Simulation; Embedded system; Human–computer interaction; Engineering; Operating system","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":[0.00009452254,0.0001046593,0.000191287,0.00005838553,0.00001849113,0.00003274537,0.00008263986,0.00005458706,0.0004819037],"category_scores_gemma":[0.000002991698,0.00009162255,0.00003320138,0.00004882053,0.00000567669,0.00007559762,0.000004220296,0.00006610856,0.0001814121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006252245,"about_ca_system_score_gemma":0.000008857102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001044549,"about_ca_topic_score_gemma":0.00000308533,"domain_scores_codex":[0.9993456,0.00001620567,0.0002530692,0.0001151882,0.0001041483,0.0001658124],"domain_scores_gemma":[0.9997281,0.00003021712,0.00001638459,0.0001583389,0.000005400438,0.0000615349],"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":[0.000004031372,0.00008939829,0.00009527979,0.000004531812,0.00000772014,0.000001674552,0.00007994202,0.9940153,0.00334179,0.0007213613,0.0002823399,0.001356643],"study_design_scores_gemma":[0.001463749,0.00006176833,0.006843813,0.00001191662,0.000004472782,0.000002525927,0.00006153186,0.9894655,0.000337441,0.0003258374,0.00125934,0.0001621085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.893571,0.00205658,0.03298385,0.001437055,0.001143603,0.002468867,0.00001048892,0.0009801605,0.06534839],"genre_scores_gemma":[0.997113,0.00003023622,0.001729671,0.00006952906,0.00008865104,0.00004212461,0.00001544958,0.00001229846,0.0008989708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1035421,"threshold_uncertainty_score":0.5276508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005388444067381102,"score_gpt":0.2160124606686209,"score_spread":0.2106240166012398,"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."}}