{"id":"W2134868495","doi":"10.1109/haptic.2004.1287171","title":"Haptic rendering of rigid body collisions","year":2004,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Collision detection; Haptic technology; Collision; Rendering (computer graphics); Computer science; Stiffness; Contact force; Simulation; Rigid body; Virtual reality; Collision response; Computer graphics (images); Artificial intelligence; Physics; Engineering; Structural engineering; Classical mechanics","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":[0.0003990936,0.000655072,0.0007314869,0.0003751102,0.0003921119,0.00122009,0.0008600492,0.0008326577,0.00719515],"category_scores_gemma":[0.002809715,0.0003524781,0.0006074816,0.0001768224,0.0006713175,0.001159966,0.00154775,0.0008951694,0.000629779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002900419,"about_ca_system_score_gemma":0.0002800667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006458649,"about_ca_topic_score_gemma":0.0004195865,"domain_scores_codex":[0.9995226,0.00007244816,0.0000127364,0.00003395875,0.0003015117,0.00005679946],"domain_scores_gemma":[0.999077,0.000581033,0.00005162364,0.0001387967,0.00008335681,0.00006821921],"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":[0.002047191,0.000272398,0.001010577,0.0005574556,0.0001061186,0.003646508,0.002998841,0.2692496,0.3682548,0.07803609,0.008098069,0.2657225],"study_design_scores_gemma":[0.0003009521,0.0004162671,0.0009997584,0.00005637197,0.00004251626,0.00213024,0.0002698824,0.8835447,0.06778046,0.01945698,0.02486291,0.0001388826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08167338,0.0007909436,0.8984428,0.000259015,0.0003192697,0.00009460521,0.00005940365,0.003012704,0.01534776],"genre_scores_gemma":[0.851789,0.0006417761,0.134632,0.0001452278,0.0001522631,0.00005342185,0.0000858016,0.0005253432,0.01197513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00719515,"threshold_uncertainty_score":0.02407014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164117280755834,"score_gpt":0.2129839770706934,"score_spread":0.2013428042631351,"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."}}