{"id":"W4252366788","doi":"10.1109/imtc.1996.507411","title":"Vision-based sensing and control for space robotics applications","year":2002,"lang":"en","type":"article","venue":"","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency; University of Ottawa","funders":"","keywords":"Flexibility (engineering); Computer science; Actuator; Artificial intelligence; Robotics; Computer vision; Orientation (vector space); Position (finance); Image sensor; Motion control; Control system; Relative motion; Control engineering; Robot; Engineering; 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":[0.0002676997,0.0004132787,0.0003376761,0.0004088836,0.0002808087,0.0008396983,0.0005736336,0.001132981,0.004535219],"category_scores_gemma":[0.0005923081,0.0001336617,0.0002064943,0.0006111093,0.0006096273,0.0008251356,0.0003641085,0.0005842917,0.001472783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002953201,"about_ca_system_score_gemma":0.0004423536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074269,"about_ca_topic_score_gemma":0.001015961,"domain_scores_codex":[0.9997198,0.00004203122,0.00001321574,0.00003304412,0.000173963,0.00001786888],"domain_scores_gemma":[0.9998574,0.00004029123,0.00001609002,0.00002204533,0.00005364129,0.00001053689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001134728,0.00006172193,0.0002350155,0.0007293189,0.00003015313,0.0002103847,0.000173638,0.01291644,0.05426686,0.08695103,0.0185519,0.8257599],"study_design_scores_gemma":[0.00007635744,0.0007083034,0.001957607,0.0003630048,0.00008019716,0.001019467,0.0001578987,0.2586289,0.03150628,0.1267522,0.5786526,0.00009718481],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009191503,0.06845235,0.8696397,0.001596692,0.001343757,0.0001318773,0.00009006989,0.001783086,0.04777091],"genre_scores_gemma":[0.4599222,0.05202351,0.4357743,0.001590228,0.001919477,0.0003657332,0.0004336447,0.0001766529,0.04779417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004535219,"threshold_uncertainty_score":0.01517183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006795344911046908,"score_gpt":0.1962385762494529,"score_spread":0.189443231338406,"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."}}