{"id":"W2169245563","doi":"10.1115/1.4006523","title":"Overall Motion Planning for Kinematically Redundant Parallel Manipulators","year":2012,"lang":"en","type":"article","venue":"Journal of Mechanisms and Robotics","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; Simon Fraser University; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Motion (physics); Trajectory; Motion planning; Parallel manipulator; Kinematics; Point (geometry); Manipulator (device); Work (physics); Computer science; Robot end effector; Mathematics; Robot; Engineering; Artificial intelligence; Physics; Classical mechanics; Control (management); Geometry","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":[0.0004034704,0.0007044204,0.0004404049,0.0003619762,0.0002778349,0.0002477657,0.0005827789,0.0002970585,0.001108338],"category_scores_gemma":[0.0004756795,0.0002939807,0.0003579717,0.0002514401,0.000430803,0.0004008609,0.0005351752,0.0003846291,0.0001974352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002006182,"about_ca_system_score_gemma":0.0004143864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004582518,"about_ca_topic_score_gemma":0.0007852087,"domain_scores_codex":[0.9997827,0.00004505599,0.00001233039,0.00004359454,0.00009546617,0.00002087556],"domain_scores_gemma":[0.9998162,0.00004918337,0.00005346161,0.00003067677,0.00003943528,0.00001100403],"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":[0.0001490759,0.00004995102,0.0005188189,0.0001606693,0.00003777419,0.0002132206,0.0001065808,0.7621753,0.0577716,0.01215357,0.0004776861,0.1661858],"study_design_scores_gemma":[0.00003961382,0.0004535521,0.0005742629,0.00002094567,0.00002532324,0.0002025389,0.00004824651,0.9664956,0.0181071,0.01070697,0.003299632,0.00002621447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02686459,0.0001507941,0.9708593,0.00002406154,0.00001335133,0.00003280932,0.00001405272,0.0001699629,0.001871073],"genre_scores_gemma":[0.6152387,0.0002947931,0.3817048,0.00002869016,0.00001672448,0.0001564843,0.0000840868,0.00004852306,0.002427245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001108338,"threshold_uncertainty_score":0.003707767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088000513326547,"score_gpt":0.2405298381689312,"score_spread":0.2196498330356658,"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."}}