x1nyuzhou/Robo-Mani-Failure-Data

Robo-Mani-Failure-Data is currently an 'Awesome List' style repository. While curated lists provide utility to researchers, they possess zero technical defensibility; the value is purely in the human-led discovery of relevant links. With only 2 stars and a 1-day age, it has not yet established the community momentum required to become a de facto standard in the niche. Its primary competition comes from academic survey papers (e.g., those published in IEEE RAM or IJRR) and broader 'Awesome Robotics' lists that might include a failure-handling section. Frontier labs are unlikely to compete here as it is a research resource rather than a tool or model. The displacement horizon is short because any graduate student in the field could replicate and expand this list within a few days of literature review. Its survival depends entirely on the author's ability to maintain it and attract community contributions to create a network effect of being the 'first place to look' for failure data.