{"id":"W2394585357","doi":"10.1109/tcst.2016.2562578","title":"Synchronized Closed Path Following for a Differential Drive and Manipulator Robot","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Synchronizing; Control theory (sociology); Traverse; Synchronization (alternating current); Path (computing); Trajectory; Robot; Serial manipulator; Controller (irrigation); Computer science; Differential (mechanical device); Robot kinematics; Parallel manipulator; Singularity; Motion planning; Control engineering; Mobile robot; Topology (electrical circuits); Engineering; Mathematics; Control (management); Artificial intelligence; Transmission (telecommunications)","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":[0.0004431403,0.0004927579,0.0003941863,0.0002490905,0.0003511233,0.0004291606,0.0005480471,0.0007041526,0.00143405],"category_scores_gemma":[0.000890996,0.0002988863,0.000387737,0.000197368,0.0007346736,0.0004961575,0.0009684672,0.0004208002,0.0001203665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00056656,"about_ca_system_score_gemma":0.000811209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004074779,"about_ca_topic_score_gemma":0.002664173,"domain_scores_codex":[0.9998603,0.00002641282,0.000006031693,0.00005195751,0.00003704139,0.00001823489],"domain_scores_gemma":[0.9996575,0.0001652674,0.00007613221,0.00002057985,0.00004996454,0.00003058381],"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":[0.00004994815,0.00002268701,0.0005106187,0.00005011472,0.00001705889,0.0001869213,0.0001463783,0.970592,0.006815245,0.01218836,0.0002081947,0.009212566],"study_design_scores_gemma":[0.00001579011,0.00004931712,0.00008317341,0.000002151029,0.00000397812,0.00001341098,0.00001734094,0.9966335,0.0007287833,0.002168016,0.0002809585,0.000003699846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06637914,0.00007040532,0.9313654,0.00010792,0.0000136889,0.0000312282,0.00001726048,0.00009654125,0.001918468],"genre_scores_gemma":[0.9012067,0.00008037121,0.09437073,0.00003730949,0.00001121612,0.0001228579,0.0000531168,0.00003234714,0.004085292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004074779,"threshold_uncertainty_score":0.008102119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009842065743758463,"score_gpt":0.2232944941902796,"score_spread":0.2134524284465211,"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."}}