{"id":"W2745657785","doi":"","title":"Inverse kinematics and path planning methods for discretely-actuated hyper-redundant manipulators","year":2011,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Motion planning; Kinematics; Inverse kinematics; Path (computing); Computer science; Control theory (sociology); Actuator; Solver; Robot end effector; Artificial intelligence; Robot; Mathematical optimization; Mathematics; Control (management); Physics","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":[0.0004449696,0.000564108,0.0004981245,0.000523267,0.0003221483,0.0006277855,0.000772617,0.0006424816,0.001702124],"category_scores_gemma":[0.001254334,0.0003913392,0.0005622319,0.0004784739,0.0008094616,0.0007023333,0.0006962419,0.001011625,0.0003468794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005389475,"about_ca_system_score_gemma":0.0007052271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00274097,"about_ca_topic_score_gemma":0.002266688,"domain_scores_codex":[0.9997757,0.00004834571,0.00001604536,0.00005756315,0.00008646092,0.00001584857],"domain_scores_gemma":[0.9995304,0.0002694624,0.00007977062,0.00003364574,0.0000715547,0.00001510219],"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":[0.00003311779,0.0000276777,0.0002870191,0.0001712481,0.0000271529,0.00009770894,0.0001946546,0.8666827,0.007983268,0.03556782,0.0004399384,0.08848761],"study_design_scores_gemma":[0.000007498614,0.00002217909,0.00009643395,0.00001033856,0.000004784878,0.00003638211,0.00001718086,0.9904476,0.00107157,0.007220738,0.001057392,0.000007863181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004059047,0.0001214467,0.9948927,0.00003456744,0.000009676041,0.00001247938,0.00001020761,0.00007207228,0.0007879057],"genre_scores_gemma":[0.2712488,0.0006120448,0.7237071,0.00004911499,0.00002903633,0.0002056834,0.00009205822,0.00007425046,0.003981921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00274097,"threshold_uncertainty_score":0.005694211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1321882567601975,"score_gpt":0.3559350937904907,"score_spread":0.2237468370302932,"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."}}