Founding Research Partners, Individual Contributors, working groups, and the broader physical-AI research community. Named recognition. Open governance.
Institutions — research labs, universities, industrial research groups — that shape the first cohort of Smiling Buddha datasets, benchmarks, and reproducibility standards. Named as they enroll. Every contribution credited.
Edge case contributions, benchmark protocol drafting, RFC review, cross-lab reproducibility validation.
Founding Partner status on the About page, a working-group governance seat, and early access to preview corpora.
Discussion with the founding cohort begins with an institutional email introducing your lab, area, and intended contribution.
Freelancers, students, PhD candidates, working professionals, engineers between roles, hobbyists, indie developers — the Edge Case Library is being built by a distributed community. Named recognition. Remote-first. Every contribution credited.
Join the community →Coming with v0.1 in Q4 2026. Source code, benchmarks, contribution workflow.
Community discussion happens across the broader physical-AI research community while our own platform is in preparation.
Monthly digest of research updates, new datasets, benchmark results, community highlights. Low volume, high signal.
Will publish alongside GitHub org — email [email protected] in the meantime with your intended contribution.
Forming now — five working groups on perception, planning, safety, sim-to-real transfer, reproducibility.
Research labs, universities, and non-profits collaborating on datasets, benchmarks, reproducibility.
