{"id":"W4393988746","doi":"10.1002/rob.22332","title":"Implementation of PID controller and enhanced red deer algorithm in optimal path planning of substation inspection robots","year":2024,"lang":"en","type":"article","venue":"Journal of Field Robotics","topic":"Power Line Inspection Robots","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"State Grid Jiangsu Electric Power; Science and Technology Project of State Grid","keywords":"PID controller; Motion planning; Path (computing); Robot; Control theory (sociology); Computer science; Algorithm; Controller (irrigation); Control engineering; Engineering; Real-time computing; Artificial intelligence; Control (management); Temperature control; Biology","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":[0.0007151383,0.000535624,0.0004306632,0.0004421367,0.000348303,0.0005844541,0.0008788891,0.0006934439,0.002001669],"category_scores_gemma":[0.001330964,0.0002922904,0.000292922,0.0002011786,0.0004546675,0.0004177092,0.0005305874,0.0005109524,0.0002563735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003905158,"about_ca_system_score_gemma":0.0006998966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004199078,"about_ca_topic_score_gemma":0.002880332,"domain_scores_codex":[0.9997477,0.00005433066,0.00001738106,0.00007373981,0.00006672506,0.00004005324],"domain_scores_gemma":[0.9994813,0.0001988672,0.00005644182,0.00005930275,0.0001723247,0.00003180198],"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":[0.0002418286,0.0001396375,0.00176092,0.00008171531,0.00004160329,0.0001312329,0.0001024301,0.8721161,0.01193849,0.002916666,0.0006293242,0.1099],"study_design_scores_gemma":[0.00001136216,0.00006848993,0.000147455,0.000002967656,0.000004354981,0.00001131874,0.000006135501,0.9974745,0.001784786,0.0002134178,0.0002717419,0.000003474412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1103379,0.000184698,0.8824044,0.0001232268,0.00006538638,0.00009897209,0.00002084784,0.001511708,0.005252958],"genre_scores_gemma":[0.9078699,0.00004139078,0.090214,0.00003283054,0.000007263654,0.00006447726,0.00002209029,0.00002105556,0.001726955],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004199078,"threshold_uncertainty_score":0.008349299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00772903213991866,"score_gpt":0.2755796358359033,"score_spread":0.2678506036959846,"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."}}