{"id":"W2152182810","doi":"10.1109/tro.2004.839219","title":"On adaptive synchronization control of coordinated multirobots with flexible/rigid constraints","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Robotics","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Robot; Control theory (sociology); Synchronization (alternating current); Dual (grammatical number); Computer science; Adaptive control; Control engineering; Robot end effector; Extension (predicate logic); Robot kinematics; Function (biology); Decentralised system; Control (management); Engineering; Mobile robot; 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":[0.0006803469,0.0005623177,0.0004724942,0.0002746125,0.0003072567,0.0005464572,0.0005631864,0.0003840086,0.0009970298],"category_scores_gemma":[0.001388847,0.000202961,0.0002993223,0.0004097258,0.0007394408,0.0005123177,0.0007186736,0.0005375356,0.0001523471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003125356,"about_ca_system_score_gemma":0.0003255395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002586534,"about_ca_topic_score_gemma":0.001944648,"domain_scores_codex":[0.9996849,0.00008579428,0.00002279483,0.00007494458,0.00009427025,0.00003733241],"domain_scores_gemma":[0.9994855,0.0002758665,0.00008547078,0.00003926869,0.0000902772,0.00002363508],"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":[0.0002208363,0.00005249705,0.0003750379,0.0001329403,0.00006797778,0.000166944,0.0002066605,0.857146,0.01592959,0.04285511,0.001003689,0.08184268],"study_design_scores_gemma":[0.00002401846,0.00009284599,0.0001401963,0.000005733562,0.000008772312,0.00001147922,0.000009487085,0.9937884,0.001142149,0.004028808,0.0007412461,0.000006877919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02955321,0.000495582,0.9648892,0.0001694292,0.0001278287,0.0000355013,0.00001861255,0.0001370207,0.004573621],"genre_scores_gemma":[0.9551729,0.0005207047,0.0413792,0.00008295566,0.0001403385,0.00009650984,0.00003832955,0.00003116266,0.0025379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002586534,"threshold_uncertainty_score":0.005142987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126424936365956,"score_gpt":0.2146603608498955,"score_spread":0.2020178672132999,"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."}}