{"id":"W3205663827","doi":"10.1109/icra48506.2021.9560914","title":"LBGP: Learning Based Goal Planning for Autonomous Following in Front","year":2021,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Trajectory; Planner; Computer science; Robot; Reinforcement learning; Artificial intelligence; Deep learning; Human–computer interaction; Simulation","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":[0.0005246697,0.0001450654,0.0002360992,0.0001231509,0.0001360557,0.0001742654,0.0004264398,0.00007880983,0.00001212707],"category_scores_gemma":[0.0003008502,0.000151263,0.0001172237,0.0001943944,0.000008728104,0.0002794707,0.0001369497,0.0002274944,0.00002818937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023021,"about_ca_system_score_gemma":0.0002775909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003331923,"about_ca_topic_score_gemma":0.000005270429,"domain_scores_codex":[0.9984824,0.00008791489,0.0002686774,0.0004986587,0.0002095051,0.0004528256],"domain_scores_gemma":[0.9990845,0.0004124464,0.00005862726,0.0003161273,0.00004228577,0.00008596454],"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":[0.000007923387,0.00009321115,0.0238111,0.00003047141,0.0000334899,0.001214293,0.003109807,0.9493918,0.001310223,0.001133455,0.0007973374,0.01906682],"study_design_scores_gemma":[0.0008155712,0.0000552028,0.00442702,0.0000827433,0.00000438371,0.00001219723,0.000156151,0.9908893,0.001396573,0.0002026274,0.001745434,0.0002128327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008269322,0.000174549,0.9870904,0.0005264784,0.0006445277,0.0001288323,5.896831e-7,0.0003036626,0.002861614],"genre_scores_gemma":[0.2664431,2.096065e-7,0.7313181,0.0003782656,0.00005281449,0.0000314567,0.00001022137,0.00001337954,0.001752463],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2581738,"threshold_uncertainty_score":0.6168324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262404796505633,"score_gpt":0.2792098966939343,"score_spread":0.256585848728878,"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."}}