{"id":"W2475133691","doi":"","title":"Applying artificial potential fields to path planning for mobile robotics and to haptic rendering for minimally invasive surgery","year":2005,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Robotics; Artificial intelligence; Computer science; Motion planning; Robot; Rendering (computer graphics); Haptic technology; Control reconfiguration; Embedded system","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":[0.0004814631,0.0001999722,0.0003049609,0.0002062225,0.0002419963,0.0002732621,0.0003647001,0.00009817199,0.000001799259],"category_scores_gemma":[0.0003146211,0.0002053537,0.00008915771,0.0001968766,0.00001380004,0.0002686051,0.0002311878,0.00008691585,0.00001024667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004664519,"about_ca_system_score_gemma":0.0001055383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009873,"about_ca_topic_score_gemma":0.000007077435,"domain_scores_codex":[0.9982446,0.00001976262,0.0003940984,0.0005751698,0.0002104805,0.0005558734],"domain_scores_gemma":[0.9983698,0.0008855642,0.00007962649,0.0003077867,0.000104651,0.0002525725],"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":[0.00005548492,0.00004975399,0.0001781691,0.00007299514,0.00003316465,0.00002543543,0.002069706,0.8771084,0.005075254,0.001145234,0.005840124,0.1083463],"study_design_scores_gemma":[0.0002356068,0.0003676364,0.0002152647,0.0001228793,0.00001897266,0.00003335962,0.0003163145,0.9926906,0.00374239,0.0005028743,0.001305337,0.0004488116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02813047,0.00004227299,0.9684082,0.001286581,0.0004995585,0.001415358,0.000007234833,0.0001614394,0.00004885152],"genre_scores_gemma":[0.2405155,9.710536e-7,0.7572849,0.0009702272,0.0003587381,0.0007194424,0.000004965013,0.00001800588,0.0001273271],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.212385,"threshold_uncertainty_score":0.8374081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04523148617595159,"score_gpt":0.2823515510047392,"score_spread":0.2371200648287876,"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."}}