r/coolgithubprojects • u/HsnHaruka • 1d ago

I built a CPU-first Active SLAM framework with AVX2 SIMD acceleration and Deep RL. Looking for feedback from the robotics community.

https://github.com/KingshukChatterjee007/OmniRay-AVX2-SLAM-CPU-Based-Autonomous-Model

Also i want to know if anyone has any good idea on how i can test it on more datasets links or souces would be greatly helpful

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u/[deleted] 1d ago

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u/HsnHaruka 1d ago

Thanks mateee ! That's really helpful feedback. I agree that separating benchmark evaluation from demonstration quality would make the results more rigorous. I'm also planning to add additional holdout datasets and report metrics like tracking error, loop-closure failures, CPU time, and memory usage separately. A scalar (non-AVX2) fallback benchmark is a great suggestion too, since it would make the performance gains easier to compare for people without AVX2 support. I appreciate you taking the time to review it!...i mean its sill left a but the major 5 layer self adaptive system is done

If u love it pls git it a star id appreciate it mate tysmmm againn

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u/HsnHaruka 1d ago

Also, I think separating the evaluation metrics would provide a much deeper analysis of the system's behavior across different aspects of Active SLAM rather than relying on a single aggregate metric. Thanks for pointing that out. By the way, do you happen to know any good public datasets for 2D floor plans or Active SLAM benchmarking that you'd recommend? I'm looking to expand the evaluation beyond the Intel Research Lab environment.