{"id":"W2104028643","doi":"10.1109/robot.2002.1013469","title":"Development of a six degree-of-freedom reconfigurable gripper for flexible fixtureless assembly","year":2003,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Grippers; GRASP; Automotive industry; Robot; Degrees of freedom (physics and chemistry); Computer science; Set (abstract data type); Engineering; Mechanical engineering; Control engineering; Artificial intelligence","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":[0.0002460423,0.0003319207,0.00031618,0.0003535523,0.000192389,0.000248616,0.0008254978,0.0005301155,0.0009729837],"category_scores_gemma":[0.0003271929,0.0002783832,0.0003365789,0.000140347,0.0002489252,0.0004420269,0.0003563734,0.0004867409,0.0005569031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001421572,"about_ca_system_score_gemma":0.0002638761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002376808,"about_ca_topic_score_gemma":0.000181304,"domain_scores_codex":[0.9997833,0.00001412442,0.00001659188,0.00004786356,0.0001121721,0.00002592673],"domain_scores_gemma":[0.9997858,0.00003373339,0.00004804395,0.00005276259,0.00004984782,0.00002978744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001111164,0.00006082618,0.000798906,0.0003059425,0.00003407695,0.0006540516,0.0001280526,0.01220464,0.7996855,0.005531874,0.0009343151,0.1795506],"study_design_scores_gemma":[0.00009820898,0.001595373,0.004081074,0.00006106028,0.00007032997,0.004631708,0.00005045843,0.1019271,0.818584,0.001366952,0.06740353,0.0001302467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1102042,0.0009550563,0.8796106,0.0001358037,0.0001624902,0.0001889184,0.00007328088,0.002548831,0.006120789],"genre_scores_gemma":[0.3849077,0.0004179502,0.6100865,0.00009154822,0.00002781719,0.0001047187,0.00009911864,0.00007749107,0.004187136],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0009729837,"threshold_uncertainty_score":0.00325495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05852762728654238,"score_gpt":0.2612801810674852,"score_spread":0.2027525537809428,"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."}}