{"id":"W4414079705","doi":"10.1109/tmc.2025.3606847","title":"MaestroBot: Generalized Gesture-Driven Hierarchical Coordination for Robotic Formations","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"National Natural Science Foundation of China","keywords":"Scalability; Adaptability; Wearable computer; Wireless; Testbed; Swarm behaviour; Robot; Domain (mathematical analysis); Gesture","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":[0.0002224136,0.0004786765,0.0004185443,0.0002115765,0.0003490509,0.0003314439,0.001053156,0.0003671784,0.001780964],"category_scores_gemma":[0.0007391674,0.0001952751,0.0002428822,0.0001930329,0.0005422263,0.000521316,0.001381203,0.000567851,0.0004309042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000290387,"about_ca_system_score_gemma":0.000663729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003265786,"about_ca_topic_score_gemma":0.006133392,"domain_scores_codex":[0.9998104,0.00002608743,0.000009668149,0.00005032369,0.00007764187,0.00002594387],"domain_scores_gemma":[0.9998168,0.00004530283,0.00002656871,0.00005536497,0.00002572303,0.00003024506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002177135,0.00009320745,0.001502115,0.0001897941,0.00004808834,0.0002855877,0.0002651529,0.6468841,0.06678718,0.01991531,0.006112164,0.2576995],"study_design_scores_gemma":[0.00002286277,0.00008411435,0.0003293637,0.000009012812,0.0000050465,0.00006195901,0.00002649629,0.9801308,0.009226079,0.004710201,0.005381188,0.00001295647],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02045383,0.0001854913,0.9710627,0.00007909619,0.00005437005,0.00007447099,0.00009399949,0.004053231,0.003942785],"genre_scores_gemma":[0.6727067,0.0001440227,0.3220502,0.0001077458,0.00001937406,0.0002193542,0.0002382927,0.0002219431,0.004292313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003265786,"threshold_uncertainty_score":0.006493568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495394078161984,"score_gpt":0.2631617260873088,"score_spread":0.2482077853056889,"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."}}