{"id":"W1973919856","doi":"10.2316/journal.206.2012.4.206-3780","title":"SYNCHRONIZED TRIGONOMETRIC S-CURVE TRAJECTORY FOR JERK-BOUNDED TIME-OPTIMAL PICK AND PLACE OPERATION","year":2012,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jerk; Bounded function; Trigonometry; Trajectory; Trigonometric functions; Mathematics; Computer science; Control theory (sociology); Mathematical analysis; Artificial intelligence; Geometry; Physics; Acceleration; Classical mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002838217,0.0004459454,0.0002278853,0.0005026119,0.000284873,0.0002733425,0.0003925218,0.0003062215,0.00318255],"category_scores_gemma":[0.0006520825,0.0001517703,0.0002603999,0.0003934598,0.0003171863,0.000248859,0.0004176919,0.0002742836,0.0003916445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003364078,"about_ca_system_score_gemma":0.0006842359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001815194,"about_ca_topic_score_gemma":0.001299221,"domain_scores_codex":[0.9997434,0.00003658358,0.00001314237,0.00003738316,0.0001445066,0.00002496828],"domain_scores_gemma":[0.9997723,0.0000384977,0.0000625163,0.00003386469,0.00007061927,0.00002213707],"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":[0.0003250128,0.0001326606,0.00130076,0.0002094034,0.00002581124,0.0002512492,0.0002804694,0.7056392,0.0693627,0.03315382,0.00144738,0.1878715],"study_design_scores_gemma":[0.00002348185,0.0002111757,0.0003740483,0.00001286088,0.000004327556,0.0000417924,0.00002493804,0.9851615,0.009678315,0.002475981,0.001981935,0.00000951863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05443989,0.0000568296,0.9412581,0.00005037259,0.00002150335,0.0000699645,0.00003334566,0.0004285281,0.003641511],"genre_scores_gemma":[0.8674599,0.0000805161,0.128509,0.00001602883,0.000009129835,0.0001284281,0.0001183405,0.0000536557,0.003625001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00318255,"threshold_uncertainty_score":0.0106467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008603801811350871,"score_gpt":0.2299255216058768,"score_spread":0.221321719794526,"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."}}