{"id":"W2117551464","doi":"10.1109/icccn.2007.4318004","title":"A virtual decomposition control based communication network for modular robots applications","year":2007,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Modular design; Self-reconfiguring modular robot; Robot; Mechatronics; Computer science; Key (lock); Frame (networking); Decomposition; Control engineering; Distributed computing; Embedded system; Robot control; Engineering; Mobile robot; Artificial intelligence; Computer network","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":[0.0003065241,0.0002913026,0.0002216938,0.0004049825,0.0003739067,0.0005461091,0.0005712678,0.0002852888,0.002891904],"category_scores_gemma":[0.0004139981,0.0001151113,0.00015977,0.0002733003,0.0003748596,0.0006319989,0.0005063378,0.0003312973,0.0005644856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000510865,"about_ca_system_score_gemma":0.0005501167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223186,"about_ca_topic_score_gemma":0.001564186,"domain_scores_codex":[0.9998192,0.00005342834,0.000008127622,0.00003870481,0.00006056828,0.00002000401],"domain_scores_gemma":[0.9997507,0.0000522606,0.00003890403,0.00004260089,0.00008143602,0.00003420823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006827777,0.0002402295,0.001356805,0.0002536417,0.00004874427,0.0004825154,0.0003660195,0.2355455,0.2199114,0.1003293,0.01091077,0.4298723],"study_design_scores_gemma":[0.00005898367,0.0004895576,0.0008768997,0.00003104834,0.00002978447,0.0003232736,0.00005401384,0.9196464,0.03958034,0.01171041,0.0271601,0.00003912767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0595384,0.0002662623,0.9276659,0.0002776496,0.0001247512,0.00008968926,0.00006475367,0.001668133,0.01030443],"genre_scores_gemma":[0.8199593,0.0002054508,0.1715966,0.0001283973,0.00004376411,0.0001680859,0.0001373587,0.00005472054,0.007706276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002891904,"threshold_uncertainty_score":0.00967437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005676736864436,"score_gpt":0.2548986989911303,"score_spread":0.244841931622486,"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."}}