FailSim AI - Multi-Robot Failure Analysis Platform
FailSim AI is a multi-robot failure analysis platform that helps robotics companies discover why their robots fail before building physical prototypes. Instead of weeks of manual testing, teams can run 1000+ physics-based simulations overnight using PyBullet with real robot specifications (Kuka iiwa7, Franka Panda, UR5, or custom robots). Our platform uses Gemini 3 Flash AI to automatically analyze failure clusters and explain the physical mechanisms causing failures. The system provides interactive features including experiment configuration, real-time 5-frame simulation visualization, failure distribution charts, and click-to-analyze AI insights for individual runs. Built on Vultr infrastructure with a React dashboard, FastAPI backend, and deployed 24/7 at http://80.240.20.49. FailSim AI reduces testing time by 10x, cuts costs by 90%, and enables teams to fix issues in simulation rather than expensive hardware iterations. Perfect for robotics startups, QA teams, and research labs validating designs before real-world deployment.
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"Overview: Good problem statement and solution you proposed. The demo was good enough to understand the overall idea. But you use a 3rd party AI (Gemini) to analyze the data: how can you confirm that this AI (Gemini) won't fail? Any quality control and assurance of that data? Any extra verification? Pros: Solid foundation for robotics QA. Has good potential Cons: As I stated, using 3rd party tools comes with its own risks. In thiscase, how can we be sure that AI analysis is correct? "
Anton Kiselev
Lead Backend Developer
"Failure analysis for multi-robot systems is something robotics companies actually need and not many people are building. More original than most warehouse projects here. Real commercial potential if the failure simulation is well executed."
Alexy Joven
CEO
"Description: Multi-robot failure analysis platform. Run 1000+ physics-based simulations (PyBullet), Gemini 3 Flash analyzes failures automatically. Kuka, Franka, UR5 support. Features: 1000+ automated simulations overnight Physics-based (PyBullet) AI root cause analysis Real-time visualization 10x faster testing, 90% cost reduction Demo: http://80.240.20.49/ Pros: ✅ GENIUS! - Solves real problem (why robots fail) ✅ Multi-robot support ✅ Automated failure discovery ✅ Working demo ✅ Real ROI (10x faster, 90% cheaper) Cons: Zero stars Similar to Repulsor (both AI for robotics validation)"
Sanem Avcil
For Innovators & Creators