{"id":"W3093662974","doi":"10.1016/j.actaastro.2020.10.019","title":"Image-based control for rendezvous and synchronization with a tumbling space debris","year":2020,"lang":"en","type":"article","venue":"Acta Astronautica","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"China Scholarship Council; University of Toronto","keywords":"Rendezvous; Visual servoing; Control theory (sociology); Bounded function; A priori and a posteriori; Controller (irrigation); Synchronization (alternating current); Computer science; State observer; Observer (physics); Image (mathematics); Computer vision; Artificial intelligence; Mathematics; Spacecraft; Control (management); Engineering; Nonlinear system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001132662,0.0003179341,0.0003155109,0.0002739193,0.0004422031,0.0003782748,0.0004021221,0.0002544903,0.0006977029],"category_scores_gemma":[0.0003175902,0.0001103145,0.0001628106,0.000175482,0.0003188134,0.0002105903,0.0004899783,0.0002267053,0.0001736796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002215319,"about_ca_system_score_gemma":0.0002419844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002393856,"about_ca_topic_score_gemma":0.002050447,"domain_scores_codex":[0.9999156,0.000009091218,0.00000389856,0.00002226105,0.00003243963,0.00001666138],"domain_scores_gemma":[0.999881,0.00002508316,0.00002809368,0.00001685469,0.00003673392,0.00001220766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001773947,0.000144642,0.003297508,0.0002124606,0.0000950625,0.0006427103,0.0008504075,0.3407443,0.4312236,0.01393371,0.002567899,0.2045138],"study_design_scores_gemma":[0.00005810686,0.0005363488,0.002822971,0.00000975221,0.00003437308,0.0001677697,0.00005989806,0.9408841,0.04983388,0.001638707,0.003928246,0.00002596829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4503292,0.0003792317,0.5388291,0.0001709745,0.0002197466,0.00005024556,0.00006316834,0.0009155259,0.009042805],"genre_scores_gemma":[0.9927251,0.00002666405,0.005595454,0.00001448389,0.00001229042,0.00001274559,0.00001591561,0.00001043747,0.00158673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002393856,"threshold_uncertainty_score":0.004759789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005613034685834023,"score_gpt":0.1838461985225131,"score_spread":0.1782331638366791,"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."}}