{"id":"W2064761790","doi":"10.1016/j.comgeo.2013.03.004","title":"Efficient reconfiguration of lattice-based modular robots","year":2013,"lang":"en","type":"article","venue":"Computational Geometry","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Control reconfiguration; Self-reconfiguring modular robot; Modular design; Robot; Lattice (music); Computer science; Class (philosophy); Topology (electrical circuits); Algorithm; Mathematics; Mobile robot; Combinatorics; Embedded system; Artificial intelligence; Robot control; Programming language; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007794177,0.00009119952,0.0001164586,0.0001631461,0.00002914364,0.00002228922,0.0000938991,0.00004633948,0.0005480603],"category_scores_gemma":[0.00002550043,0.00009155025,0.00004633397,0.0002705253,0.00002567039,0.00003927185,0.000008263204,0.00006944231,0.0002137777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002821359,"about_ca_system_score_gemma":0.00001712937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001317743,"about_ca_topic_score_gemma":3.299344e-7,"domain_scores_codex":[0.9993082,0.00001307067,0.0002386649,0.0001140438,0.0002038459,0.0001221477],"domain_scores_gemma":[0.9995493,0.00009021051,0.00003720831,0.0001163855,0.0001570686,0.00004981984],"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":[9.58487e-7,0.00002434925,0.0001648604,0.0000446611,0.00001382538,4.867804e-7,0.00002631882,0.9888211,0.001118609,0.000944457,0.000195446,0.008644884],"study_design_scores_gemma":[0.00009524576,0.0000166742,0.01423857,0.00001913372,0.000004241014,0.000001338912,0.000009687879,0.9804048,0.003846575,0.001217956,0.00004725493,0.00009855499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4344989,0.0001291867,0.5643639,0.00003654067,0.0001441484,0.000102523,0.000003572783,0.00005584963,0.0006654029],"genre_scores_gemma":[0.9802025,0.000001620252,0.0196197,0.00004497301,0.00003334962,0.00001264218,0.00003604585,0.00001399452,0.00003515363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5457036,"threshold_uncertainty_score":0.6000876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277394886757231,"score_gpt":0.212029483056795,"score_spread":0.1992555341892227,"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."}}