Hey Axelera team and community! 👋
I saw the Prompt Challenge ad on my phone screen back on July 23, 2026, and it got me really excited enough to dig back into an old, paused concept I'd been sitting on BN-Twin and finally turn it into a working software demo.
Now, I want to take this working engine and supercharge it on real Axelera hardware using Voyager Wingman!
💡 What BN-Twin Does
BN-Twin is a single deterministic engine designed for two Industry 5.0 needs:
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Trustworthy Cobot Investment Decisions: Running transparent, non-black-box simulations comparing manual, automatic, and collaborative production lines.
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High-Precision Robotic Control: Controlling robotic arms with 50-digit precision kinematics while while damping motion instabilities at singularities instead of letting control corrections spike.Instead of just logging errors, it calculates the real-time joint-angle correction needed to close the loop, the actual control math, ready to be wired to real actuators once hardware integration begins.
🖼️ Current Working UI & Features (Screenshots attached)
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Robotic Arm Console: Live kinematics visualization, 50-digit precision (
mpmath), singularity damping status (SAFE), and live joint correction signals ($\Delta\theta$). -
Production Line Dashboard: Multi-criteria decision engine comparing Manual vs. Full Auto vs. Collaborative 5.0 (analyzing throughput, OEE, cost per unit, and ergonomics).
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Cryptographic Proof: Every run generates a green
TWIN SYNC HASHat the bottom to guarantee 100% reproducible results, paired with Fernet+PBKDF2 encryption for IP security.
🛠️ The Mission with Voyager Wingman & Metis
Since the core software logic is already running, my goal during the build month is to port and accelerate it on Axelera silicon:
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Metis Pipeline Setup: I will use Voyager Wingman prompts to automatically generate, wire, and optimize the Metis execution pipeline on the Dell XE5 setup without writing complex YAML configurations manually.
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Upgrading to Live Vision: Right now, the arm module uses simulated virtual sensors. I plan to prompt Wingman to help integrate a real-time computer vision pipeline via the Voyager SDK, replacing virtual sensors with camera feedback to track actual physical end-effector positions.
🚀 Why This Proposal?
Having a working software baseline means zero time wasted starting from scratch. I can jump straight into testing Voyager Wingman, generating pipelines, and benchmarking performance on real Axelera hardware from day one.
Excited to see how fast Wingman can take this project to the next level. Let me know what you think! 🚀
below link github :
https://github.com/BenNugraha/DT-BN_TWIN_Tech
