{"id":"W2116149242","doi":"10.1109/robot.2007.364105","title":"Configuration Control and Recalibration of a New Reconfigurable Robot","year":2007,"lang":"en","type":"article","venue":"Proceedings - IEEE International Conference on Robotics and Automation/Proceedings","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Inverse kinematics; Control theory (sociology); Controllability; Control reconfiguration; Reconfigurability; Kinematics; Robot; Actuator; Revolute joint; Controller (irrigation); Robot kinematics; Computer science; Control engineering; Modular design; Engineering; Mobile robot; Mathematics; Artificial intelligence; Control (management); Physics; Embedded system","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":[0.0001509538,0.0003387993,0.0002413319,0.0003043587,0.0001729308,0.0003753271,0.0004382392,0.0002513231,0.0008177489],"category_scores_gemma":[0.0003235944,0.0001220239,0.0002260942,0.0001394963,0.0005601716,0.0002891821,0.0003704062,0.000254942,0.0001905861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000188809,"about_ca_system_score_gemma":0.0001647806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005550346,"about_ca_topic_score_gemma":0.0005158839,"domain_scores_codex":[0.9998516,0.00001757932,0.000008096082,0.00005940414,0.00004360036,0.00001969782],"domain_scores_gemma":[0.9998615,0.00002224992,0.00004911735,0.00003245718,0.00002006745,0.00001463376],"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":[0.0003634504,0.00006801256,0.001446025,0.0001759179,0.00006179199,0.001170582,0.0004317423,0.3000966,0.4323485,0.03220124,0.001474511,0.2301618],"study_design_scores_gemma":[0.0001171835,0.0007947265,0.003139894,0.00003287995,0.00004954702,0.0009723405,0.00008102431,0.8445566,0.1217814,0.008673342,0.01971867,0.00008238695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2197335,0.0004866264,0.7638392,0.0001822896,0.0001682883,0.00005949557,0.00002671333,0.002101914,0.01340193],"genre_scores_gemma":[0.9569731,0.0001101502,0.03949142,0.00004678869,0.00002485272,0.00003503051,0.00001956014,0.00003567383,0.0032635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008177489,"threshold_uncertainty_score":0.002735615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03319852347618218,"score_gpt":0.2623236347889468,"score_spread":0.2291251113127646,"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."}}