{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002783545,0.0005064809,0.0003165425,0.0002734686,0.0002102286,0.0003483469,0.000788338,0.0004212521,0.006855423],"category_scores_gemma":[0.0004798819,0.0002188094,0.0002086029,0.000141487,0.0002627296,0.0004268226,0.0004040312,0.0005728321,0.0027825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002018542,"about_ca_system_score_gemma":0.0004362183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001705801,"about_ca_topic_score_gemma":0.001547132,"domain_scores_codex":[0.9998435,0.00002645789,0.000009850628,0.00002781157,0.00007531596,0.00001700446],"domain_scores_gemma":[0.9998664,0.0000375513,0.00002147443,0.00001657076,0.00004268561,0.00001535977],"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":[0.0008749715,0.00054112,0.002717143,0.001956627,0.0001056612,0.001120849,0.0009390217,0.1643715,0.1947958,0.03487553,0.0306888,0.567013],"study_design_scores_gemma":[0.0003792917,0.001150535,0.001909351,0.0001746589,0.00008216139,0.001233185,0.00007666775,0.6575139,0.1323095,0.004080025,0.2009956,0.00009512727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01014045,0.0001420129,0.9608105,0.0001157236,0.00008696521,0.0002882848,0.0001873598,0.01793591,0.01029281],"genre_scores_gemma":[0.3238802,0.000516969,0.6439849,0.0003273101,0.0000434446,0.001044672,0.000750872,0.001332295,0.02811944],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006855423,"threshold_uncertainty_score":0.02293372,"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."}}