{"id":"W2100421830","doi":"10.1109/icsmc.2000.886583","title":"Computational intelligence based approach for the joint trajectory generation of cooperative robotic systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Inverse kinematics; Computer science; Kinematics; Trajectory; Joint (building); Robot; Artificial intelligence; Degrees of freedom (physics and chemistry); Robot kinematics; Control engineering; Robotics; Computational intelligence; Engineering; Mobile robot","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":[0.0006383656,0.000646243,0.0006618924,0.0006827162,0.0006182981,0.001098044,0.001588489,0.0009789892,0.002197568],"category_scores_gemma":[0.00139062,0.0003228702,0.000738556,0.000685296,0.001583918,0.001257306,0.001198882,0.001331464,0.0004830831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008374414,"about_ca_system_score_gemma":0.0008158759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001333994,"about_ca_topic_score_gemma":0.001057071,"domain_scores_codex":[0.9995427,0.0001275032,0.00002218406,0.00005623504,0.000220773,0.00003057324],"domain_scores_gemma":[0.9996001,0.0002024199,0.00004466362,0.00006422172,0.00007062584,0.0000179614],"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":[0.00002156611,0.0000266282,0.0001119839,0.0001156104,0.00002426348,0.00007501914,0.0001151128,0.586908,0.00289317,0.3722671,0.0009349171,0.03650673],"study_design_scores_gemma":[0.000006301223,0.00001336931,0.0000292033,0.000009272495,0.000004039727,0.00001764601,0.00001016421,0.9304249,0.0006631865,0.06612052,0.002695108,0.000006223431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001637775,0.0001586859,0.9946225,0.0001717113,0.00002764863,0.00002121485,0.000009607797,0.00004608129,0.003304862],"genre_scores_gemma":[0.2644069,0.0008918337,0.7278773,0.0001718521,0.0001329171,0.0004391807,0.0001145886,0.0001013678,0.005863966],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002197568,"threshold_uncertainty_score":0.007351577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07503447256729448,"score_gpt":0.2232896695626899,"score_spread":0.1482551969953954,"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."}}