{"id":"W3214432036","doi":"10.1109/mfi52462.2021.9591190","title":"Robust multi-stage hybrid vision/force control of industrial robots","year":2021,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Visual servoing; Robustness (evolution); Control theory (sociology); Artificial intelligence; Robot; Computer science; Computer vision; Motion control; Industrial robot; Robot end effector; Controller (irrigation); Angular velocity; Convergence (economics); Moment (physics); Process (computing); Control engineering; Engineering; Control (management); Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009247463,0.00008825746,0.000193018,0.00003587735,0.00002196958,0.00003154674,0.00006180756,0.00005918615,0.001104433],"category_scores_gemma":[0.00005124871,0.00008067591,0.00005284087,0.00008063317,0.00001157014,0.00007572977,0.00001147258,0.00008788633,0.00005826949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002038712,"about_ca_system_score_gemma":0.00003000456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002426678,"about_ca_topic_score_gemma":0.00004756807,"domain_scores_codex":[0.9993548,0.00002537952,0.0002704397,0.0001061442,0.0001195986,0.0001236744],"domain_scores_gemma":[0.9996353,0.00004233358,0.00002124659,0.0001751302,0.00006491342,0.00006110981],"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":[0.00001092472,0.00006454145,0.001355891,0.00004499322,0.000102433,0.00003613315,0.0001473619,0.9381275,0.04685543,0.002275084,0.006958141,0.004021544],"study_design_scores_gemma":[0.003560425,0.0000280921,0.0004302737,0.00004465329,0.00001480871,0.00001734181,0.0002864949,0.937353,0.04811686,0.000001884921,0.009949818,0.0001963971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1017299,0.0003766416,0.874512,0.0001617245,0.00176758,0.000339335,0.0000569768,0.0004201387,0.02063578],"genre_scores_gemma":[0.9912406,0.000007045133,0.001419878,0.00005617556,0.0001324344,0.000005857174,0.00001127028,0.00001622857,0.007110499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8895108,"threshold_uncertainty_score":0.9998087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06685122840482853,"score_gpt":0.2543237096365766,"score_spread":0.1874724812317481,"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."}}