{"id":"W2109490168","doi":"10.1109/robot.2008.4543558","title":"Design, simulations and optimization of a tracked mobile robot manipulator with hybrid locomotion and manipulation capabilities","year":2008,"lang":"en","type":"article","venue":"","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Payload (computing); Computer science; Robot; Mobile manipulator; Process (computing); Robot end effector; Mobile robot; Simulation; Control engineering; Software; Torque; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004923884,0.0001112413,0.0001495808,0.00008126618,0.00006886042,0.00001452648,0.00002382979,0.00003579462,0.00007718838],"category_scores_gemma":[0.000006033004,0.00009822173,0.00001354734,0.00007840212,0.00006066958,0.0002240463,0.000005617189,0.00004202799,8.723108e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002215316,"about_ca_system_score_gemma":0.000008473065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001587817,"about_ca_topic_score_gemma":0.000007727041,"domain_scores_codex":[0.9994551,0.00002643496,0.0002018007,0.0001212638,0.00009825634,0.00009715629],"domain_scores_gemma":[0.9997031,0.00005343387,0.00003262256,0.0001038744,0.00005956813,0.00004738208],"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":[0.00001172746,0.00002136754,0.0009891761,0.00003598935,0.00001773095,9.952378e-7,0.0002748275,0.9973128,0.0006114416,0.0002253519,0.000008265702,0.0004902705],"study_design_scores_gemma":[0.0007016183,0.00009826971,0.005263989,0.0000138667,0.00002128568,0.00004193178,0.00009396711,0.9919736,0.001573366,0.0001001704,0.000004327273,0.0001136137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2924011,0.00006704781,0.706963,0.00001435776,0.0000178204,0.0003578659,0.000001498184,0.00009987746,0.00007744879],"genre_scores_gemma":[0.9594848,0.00004397597,0.0403304,0.000007979721,0.00001310179,0.00002430598,0.00001493002,0.00001857143,0.00006188871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6670837,"threshold_uncertainty_score":0.4005366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716010881560749,"score_gpt":0.1945116651060834,"score_spread":0.1773515562904759,"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."}}