KitchenBench
Evaluating robots on ten bimanual kitchen tasks, including pouring, lid removal, folding, part-mating, two-arm handover, and tool-mediated scooping.
What it does
Evaluating robots on ten bimanual kitchen tasks, including pouring, lid removal, folding, part-mating, two-arm handover, and tool-mediated scooping. Includes a dependency-free mock kitchen.
- Independent robotics evaluation
- Physical-world AI benchmarking
- Open-source evaluation tooling
- Category
- AI evaluation and observability
- Built for
- Media and entertainment
- Users
- Frontier AI labs, Robotics research organizations, Public-sector AI safety bodies
- Public API
- Not offered
- Deployment
- Self-hosted
Not yet disclosed: platforms, languages and support channels.
Pricing
Pricing isn't published
Robocurve doesn't list prices publicly. Ask them for a quote.
Security and compliance
No security details published yet
Robocurve hasn't published certifications or security practices for KitchenBench that we could find. Ask their team for audit reports.
Reviews
No reviews yet
Reviews come from people who use KitchenBench at work. Share how your team uses it to help other buyers decide.
Alternatives
Tradewinds
by Olam Labs
Catan-inspired island trading game where players roll for resources, bargain, and build to 10 points; currently in development.
Evaluation Services
by LLM Stats
Pre-release and bespoke benchmark evaluation for frontier models using a standardized suite (GPQA, MMMU-Pro, nolima, Multi-Challenge, ScreenSpot Pro, ERQA, LongBench v2, FACTS G...
LLM evaluation
by Openlayer
Rigorous evaluation for GenAI and LLMs—test every prompt, trace every response, and validate every output.
Glide
by Agentic Labs
Collects, cleans, and organizes context for agent deployments; generates code knowledge base explanations, ingests customer data via connectors, designs evaluation sets and rewa...
LLM Observability
by Confident AI
Provides end-to-end monitoring and tracing of LLM applications in production with best-in-class evaluations powered by DeepEval.
Loss Analyses
by AfterQuery
Identifies where and why models fail in professional contexts through systematic study, pinpointing the precise failure modes and distributional gaps that inform dataset and env...
Is this your product?
Claim it to keep details accurate and submit evidence for the next ranking review.
Claim KitchenBench