{"id":"W2115706193","doi":"10.1109/iros.1994.407648","title":"Dynamics and control of multi-arm space robots during chase and capture operations","year":2002,"lang":"en","type":"article","venue":"","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Kinematics; Jacobian matrix and determinant; Computer science; Barycentric coordinate system; Spacecraft; Set (abstract data type); Robot; Motion (physics); Robot kinematics; Motion control; Object (grammar); Tracking (education); Robotic arm; Space (punctuation); Control theory (sociology); Artificial intelligence; Control (management); Mathematics; Engineering; Mobile robot; Applied mathematics; Aerospace engineering","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":[0.00003253167,0.0001005988,0.0001665633,0.00004227687,0.00003795241,0.0000256253,0.00002638081,0.00005834949,0.00004797919],"category_scores_gemma":[0.000007798207,0.00008766955,0.00001951393,0.00004445853,0.00001989927,0.00007387744,0.000007468129,0.00006471157,0.000003158103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001794718,"about_ca_system_score_gemma":0.000001274884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001538509,"about_ca_topic_score_gemma":0.0009914368,"domain_scores_codex":[0.9996014,0.000008660602,0.0001206631,0.00009752223,0.00004942803,0.0001223215],"domain_scores_gemma":[0.9997849,0.00001531307,0.0000104485,0.0001029847,0.00002303731,0.00006334646],"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":[0.00004045295,0.0003074067,0.0240033,0.001327694,0.0007444572,0.00007191244,0.007634267,0.6335061,0.2853794,0.03058418,0.0001787315,0.01622219],"study_design_scores_gemma":[0.001408999,0.00001252718,0.002184892,0.00001780404,0.00001562917,0.00001777681,0.0003125811,0.9952708,0.0005976213,0.000001912059,0.00005169562,0.0001076913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8476804,0.01477734,0.1325253,0.001009774,0.0001756325,0.0006118735,0.00005047731,0.0002367961,0.002932315],"genre_scores_gemma":[0.9972794,0.0002666698,0.0005789184,0.00001474703,0.00002516564,0.000009581275,0.000001117557,0.00001557213,0.001808829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3617648,"threshold_uncertainty_score":0.357506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00562217602808363,"score_gpt":0.1798481349937833,"score_spread":0.1742259589656997,"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."}}