{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002427415,0.0003211823,0.0002805015,0.0001972667,0.0002127275,0.0002951034,0.0003426196,0.0004603555,0.001143287],"category_scores_gemma":[0.0003394386,0.0002462263,0.0002767929,0.0001077031,0.0002522947,0.000190625,0.0002151208,0.000176432,0.0001835572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002500821,"about_ca_system_score_gemma":0.0004051555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104554,"about_ca_topic_score_gemma":0.00137848,"domain_scores_codex":[0.9999279,0.00001401572,0.000003184902,0.000009200698,0.0000346248,0.00001115094],"domain_scores_gemma":[0.9999061,0.00003512193,0.00001877256,0.00001109678,0.00002102467,0.000008017871],"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":[0.0000918799,0.00003922265,0.0006832915,0.0001026362,0.00002200103,0.0001700456,0.00006539825,0.9403197,0.04300195,0.001861985,0.0001769878,0.01346487],"study_design_scores_gemma":[0.00003977606,0.0002320174,0.0005632763,0.000005438354,0.00001527326,0.00003742354,0.00001956994,0.9895474,0.007753746,0.0002480186,0.001531157,0.000006809758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5619302,0.0002584263,0.4255597,0.0001496558,0.00004239551,0.0002285287,0.0001545544,0.0006563839,0.01102013],"genre_scores_gemma":[0.8843471,0.0001371035,0.1117534,0.00001446266,0.000004799916,0.0003054967,0.00007785571,0.00004122616,0.003318527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001143287,"threshold_uncertainty_score":0.003824651,"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."}}