Analysis of robotics publications from 1980 to 2024 shows only 2.7 percent define dull, dirty or dangerous tasks and 8.7 percent offer examples, per the primary IEEE Spectrum review of the literature. Occupational injury data indicate up to 70 percent of cases go unreported in administrative records, with limited disaggregation by gender or informal status. Social science metrics on occupational prestige further classify stigmatized service tasks as morally or socially tainted across cultures. Robotics interventions remain sparse for these hidden categories despite available survey and ethnographic measures. Primary records from the Bureau of Labor Statistics confirm elevated risks in home care and cleaning that lack PPE sizing for women workers. Patterns in anthropology and sociology journals link prestige rankings to tasks involving stigmatized groups, creating consistent opportunities for automation in elder assistance and waste handling. Cross-referenced data from 2023 occupational health studies show these roles cluster in informal employment where injury verification is weakest. Synthesis of the IEEE framework with BLS administrative files and prestige survey datasets identifies elder care assistance and sanitation support as the next measurable targets within twelve months.