{"id":"W6991474637","doi":"","title":"Grasping in a Cluttered Environment: Avoiding Obstacles Under Memory Guidance","year":2019,"lang":"en","type":"other","venue":"Mspace (University of Manitoba)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perception; GRASP; Point (geometry); Obstacle avoidance; Obstacle; Visual perception; Visual feedback; Collision avoidance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003143004,0.0004674534,0.0004236927,0.0002327434,0.0001983907,0.0006970805,0.0003143759,0.0004161377,0.0005558305],"category_scores_gemma":[0.002200504,0.0002860029,0.0002071419,0.0001658391,0.000567299,0.0008723501,0.0008513908,0.0002420597,0.00009190253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002110576,"about_ca_system_score_gemma":0.0003843518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182644,"about_ca_topic_score_gemma":0.00104528,"domain_scores_codex":[0.9997929,0.00003260576,0.00001277505,0.00007407146,0.0000361535,0.00005165186],"domain_scores_gemma":[0.9994592,0.0002201598,0.000125432,0.00008118666,0.00002881375,0.00008520533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001385492,0.0001738318,0.006679242,0.0001931651,0.00004365155,0.0002504575,0.0007339361,0.008635416,0.9587023,0.0003187349,0.00004835852,0.0228354],"study_design_scores_gemma":[0.0003553439,0.009897562,0.4678699,0.0001282386,0.0004649092,0.001537895,0.001589277,0.1329129,0.3770193,0.00629936,0.00170592,0.0002194342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936428,0.0001211002,0.00589214,0.00001237094,0.000002760245,0.00001163965,0.00001423956,0.00003040559,0.0002725718],"genre_scores_gemma":[0.9936982,0.0001212743,0.005912567,0.00001162854,0.000003749873,0.00001710607,0.00002603593,0.00001164426,0.0001975959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001182644,"threshold_uncertainty_score":0.002351463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081910867054125,"score_gpt":0.1956971369978557,"score_spread":0.1748780283273145,"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."}}