{"id":"W2091151762","doi":"10.1115/detc2009-87500","title":"Simplified Tele-Operation of Mobile-Manipulator Systems Using Knowledge of Their Singular Configurations","year":2009,"lang":"en","type":"article","venue":"Volume 3: ASME/IEEE 2009 International Conference on Mechatronic and Embedded Systems and Applications; 20th Reliability, Stress Analysis, and Failure Prevention Conference","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Mobile manipulator; Joystick; Position (finance); Computer science; Parallel manipulator; Control theory (sociology); Robot end effector; Simple (philosophy); Serial manipulator; Orientation (vector space); Base (topology); State (computer science); Ideal (ethics); Control engineering; Manipulator (device); Control (management); Mobile robot; Algorithm; Engineering; Artificial intelligence; Simulation; Robot; Mathematics","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":[0.0003263695,0.0007217093,0.0007162815,0.0002785767,0.0005495203,0.0009804845,0.001182842,0.0005983927,0.007134532],"category_scores_gemma":[0.0007763825,0.0004463743,0.0004306184,0.0002028364,0.0007363191,0.001139094,0.001000819,0.0007712914,0.001364907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005517601,"about_ca_system_score_gemma":0.0006029058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001757154,"about_ca_topic_score_gemma":0.002401731,"domain_scores_codex":[0.9997088,0.00004144481,0.00002238652,0.00008230416,0.0001108289,0.000034181],"domain_scores_gemma":[0.9997259,0.00008804342,0.00004376989,0.00007232853,0.00005323674,0.00001667494],"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":[0.0005412562,0.00009668845,0.0007620534,0.0003699141,0.00004444635,0.000531211,0.000601989,0.465069,0.07132456,0.07384234,0.00301538,0.3838012],"study_design_scores_gemma":[0.00007103785,0.0001749049,0.0003552936,0.00003734906,0.00001844033,0.0002255181,0.000059555,0.9574509,0.01355521,0.01795821,0.01006017,0.00003356177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004026769,0.00002564505,0.9934788,0.00002099592,0.000007135297,0.00004925656,0.00001742412,0.0005804137,0.001793517],"genre_scores_gemma":[0.2746366,0.0001194099,0.7194617,0.00004438989,0.00001670629,0.0002997867,0.0001616522,0.0001518126,0.005107898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007134532,"threshold_uncertainty_score":0.02386737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781326012651316,"score_gpt":0.2738505421402245,"score_spread":0.2560372820137113,"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."}}