{"id":"W1988272660","doi":"10.1115/imece2010-40800","title":"Trajectory Planning for a Wheeled Mobile Robot and its Robotic Arm","year":2010,"lang":"en","type":"article","venue":"","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sherritt (Canada); University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mobile robot; Trajectory; Bang-bang robot; Robot; Motion planning; Robotic arm; Arm solution; Computer science; Robot end effector; Robot control; Control theory (sociology); Cartesian coordinate robot; Robot kinematics; Simulation; Artificial intelligence; Control (management); Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002289391,0.0004989298,0.0002844569,0.0002455192,0.0004458769,0.0004495523,0.0005631912,0.0004514255,0.002356778],"category_scores_gemma":[0.0003706957,0.0002192202,0.0003510378,0.0003039339,0.0003759445,0.0004120584,0.0003428887,0.0004133167,0.000335901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005541639,"about_ca_system_score_gemma":0.0009725494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007677433,"about_ca_topic_score_gemma":0.00442489,"domain_scores_codex":[0.9998797,0.00002359863,0.000006963392,0.00003479014,0.00004106269,0.00001388854],"domain_scores_gemma":[0.9998823,0.00004814693,0.00002272513,0.000008779152,0.00002932024,0.000008673033],"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":[0.0001529543,0.00003857604,0.0005223319,0.0002081919,0.00002923107,0.0003409341,0.000219591,0.7429914,0.0317547,0.03967133,0.001230529,0.1828402],"study_design_scores_gemma":[0.00001212602,0.00004560727,0.00009314669,0.00001049124,0.000007312739,0.00005187574,0.00001450041,0.9911445,0.003120322,0.0028774,0.002615167,0.00000759666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005963676,0.0000872902,0.9923166,0.00002700905,0.00001218432,0.0000238329,0.00001558993,0.0003007888,0.001253013],"genre_scores_gemma":[0.3414476,0.0003477497,0.6519746,0.00003284662,0.00001652861,0.0002017985,0.0001163535,0.00006081859,0.005801627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007677433,"threshold_uncertainty_score":0.01526552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007748485281321803,"score_gpt":0.2210575924108011,"score_spread":0.2133091071294793,"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."}}