{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005083118,0.000459224,0.0003209677,0.000411211,0.0003103376,0.0008841956,0.0005574251,0.0008723314,0.001726765],"category_scores_gemma":[0.001716844,0.0003330536,0.0006374588,0.0003495236,0.001009934,0.00131943,0.0009670546,0.0009615408,0.0002766425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006126824,"about_ca_system_score_gemma":0.0005523086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058063,"about_ca_topic_score_gemma":0.000571323,"domain_scores_codex":[0.9998103,0.00007342814,0.000007957702,0.00002135606,0.00007132637,0.00001568457],"domain_scores_gemma":[0.9995521,0.0003033811,0.00003360155,0.00003841383,0.00004612605,0.00002642375],"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":[0.00006457108,0.00003653513,0.0003292418,0.000237506,0.00002586744,0.0002829421,0.0002713704,0.6925207,0.03189246,0.1610284,0.002141153,0.1111692],"study_design_scores_gemma":[0.00001084259,0.00004192206,0.0001080305,0.00002332364,0.000003662588,0.0001050113,0.00002995306,0.9475608,0.003585186,0.04242006,0.006091724,0.00001950224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01180974,0.0007016865,0.9822403,0.0003561623,0.00009666467,0.00003663809,0.00001596983,0.0001746802,0.004568185],"genre_scores_gemma":[0.6007181,0.002203628,0.3887372,0.0002333711,0.00009310085,0.0001791023,0.00005904703,0.000147422,0.007628913],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001726765,"threshold_uncertainty_score":0.005776644,"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."}}