{"id":"W4410457242","doi":"10.22214/ijraset.2025.70950","title":"Voice Activated Human Following Robot Using Computer Vision","year":2025,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Voice command device; Robot; Human–computer interaction; Computer vision; Artificial intelligence; Speech recognition; Communication; Psychology","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":[0.0001469279,0.0002556062,0.0002156909,0.000205693,0.0001898922,0.0003345333,0.0005989025,0.000562973,0.001945923],"category_scores_gemma":[0.0002522079,0.0001224216,0.00022249,0.00008452531,0.0002192104,0.0003613855,0.0003142567,0.0002801455,0.0006487193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536561,"about_ca_system_score_gemma":0.0003472486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007760452,"about_ca_topic_score_gemma":0.0008832289,"domain_scores_codex":[0.9998221,0.00002264956,0.000006336381,0.00004991799,0.00008019664,0.00001883845],"domain_scores_gemma":[0.9998784,0.00002722328,0.00001883753,0.00001304624,0.00004549274,0.00001689546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002524018,0.0001479622,0.0006540625,0.0001924391,0.00002161571,0.0003638197,0.0001689675,0.006167785,0.6244619,0.002154675,0.002465657,0.3629487],"study_design_scores_gemma":[0.0001556616,0.002560959,0.006299946,0.000101382,0.0001202679,0.003413485,0.0001675279,0.4521869,0.4932893,0.002423778,0.03913356,0.0001472176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1029635,0.000897282,0.8790113,0.0002046368,0.0001492022,0.0001880632,0.00004789777,0.004540076,0.01199801],"genre_scores_gemma":[0.6369938,0.000332365,0.3489401,0.0002798508,0.00005004762,0.0001362037,0.00007867366,0.00007190553,0.013117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001945923,"threshold_uncertainty_score":0.006509721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04515732275651164,"score_gpt":0.4038794989885579,"score_spread":0.3587221762320462,"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."}}