{"id":"W4410228280","doi":"10.1109/wcnc61545.2025.10978400","title":"Optimal Trajectory Planning for Autonomous Robots Under Dynamic Network Connectivity Constraints: A GraphSAGE Approach","year":2025,"lang":"en","type":"article","venue":"","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Trajectory; Robot; Motion planning; Mobile robot; Artificial intelligence; Distributed computing","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":[0.0002468577,0.0002193916,0.0003260705,0.000112775,0.000125426,0.0000771634,0.0001387809,0.0001554806,0.00001485523],"category_scores_gemma":[0.000009096762,0.0002154222,0.0001236945,0.0002368595,0.00006314411,0.00007165805,0.00002007903,0.0001620545,0.000003074329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012947,"about_ca_system_score_gemma":0.00004529693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006427215,"about_ca_topic_score_gemma":0.000005687788,"domain_scores_codex":[0.9989205,0.00002763322,0.0002860093,0.0002596852,0.00007295598,0.000433239],"domain_scores_gemma":[0.9995173,0.0001647965,0.00003110331,0.0002008902,0.00002641624,0.00005953831],"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":[0.000005055561,0.00002325812,0.0001029948,0.0001591554,0.000181941,0.000002311123,0.00007210192,0.9882935,0.0004392161,0.008446289,0.001489022,0.000785105],"study_design_scores_gemma":[0.0005132029,0.00002056466,0.001456489,0.00008688034,0.00003219927,0.000009017581,0.0003605517,0.9966899,0.00007642703,0.0003318765,0.0001782577,0.0002446877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02949363,0.0005467573,0.93905,0.00002143254,0.0007319061,0.0005406732,0.0000129956,0.0009607723,0.02864189],"genre_scores_gemma":[0.9720659,0.000004434518,0.02725609,0.00005498546,0.00004665459,0.00009742457,0.00002704137,0.00003547211,0.0004120135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9425722,"threshold_uncertainty_score":0.8784661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290163877156242,"score_gpt":0.2418941929792861,"score_spread":0.2289925542077237,"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."}}