{"id":"W1895843046","doi":"10.1109/robot.1994.351079","title":"Integration of a robust trajectory planner with a feedforward neural controller for robotic manipulators","year":2002,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Planner; Trajectory; Controller (irrigation); Robot manipulator; Computer science; Artificial neural network; Artificial intelligence; Control engineering; Robot; Control theory (sociology); Robotics; Robotic arm; Engineering; Control (management)","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":[0.0004617555,0.0004655597,0.0003505012,0.0002131835,0.0002245703,0.0003294242,0.0007675724,0.0005478815,0.001710304],"category_scores_gemma":[0.0008357247,0.000292203,0.0002087055,0.0001758346,0.0003468286,0.000585857,0.0004919326,0.0006252528,0.0003309396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003496705,"about_ca_system_score_gemma":0.0006558417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003071965,"about_ca_topic_score_gemma":0.003202416,"domain_scores_codex":[0.9996885,0.00004703101,0.00001531222,0.00006695888,0.0001563922,0.00002595964],"domain_scores_gemma":[0.9997521,0.0000718489,0.00003714679,0.00003493598,0.00008527364,0.00001861181],"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":[0.0002068772,0.0002330607,0.0003978325,0.0001108432,0.00005619888,0.000199302,0.00008052959,0.6289129,0.03363558,0.005638844,0.001164652,0.3293635],"study_design_scores_gemma":[0.00002478361,0.0001775713,0.000211928,0.00000648128,0.00001471484,0.00005424039,0.000005530905,0.9877182,0.008955557,0.001119393,0.001702608,0.000008958722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02953626,0.000213834,0.9659123,0.00009101976,0.00004879446,0.00004607518,0.00001428925,0.001744735,0.002392698],"genre_scores_gemma":[0.6916983,0.0001731699,0.3032844,0.00007631783,0.00004864806,0.00009511241,0.0000690442,0.00009123469,0.004463751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003071965,"threshold_uncertainty_score":0.006108165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05313677409091756,"score_gpt":0.2323029041940609,"score_spread":0.1791661301031434,"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."}}