Engineering
Engineers writing about systems they build
Articles on probabilistic robotics, real-time decision systems, and lessons from deploying in manufacturing environments.
Uncertainty Aware Planning for Industrial Robotic Arms
Robot bin picking rarely offers certainty. Neuralzome plans around what the system does not know.
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The Robot Programming Gap: From Demonstration to Deployment
The robot sees a task once. Later, production runs a manually recoded version with lost nuance. We built a direct path from demonstration to deployment.
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Partial Observability in Warehouse Picking
Clutter, overlap, and shifting light make warehouse picking a partial observability problem.
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When Simulation Still Fails on Hardware
Abundant simulation data can still produce a policy that fails on hardware. Our approach reduces the sim to real gap without custom hardware.
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Learned Policy Transfer Across Robot Platforms
A policy trained on UR10e must be adapted for FANUC. Transfer is not zero shot. Lessons from production deployment.
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Sub-50ms Decision Architecture at the Robot Edge
The 50ms ceiling keeps Neuralzome control decisions local. Cloud round-trips stay outside the loop.
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Real Time Constraint Satisfaction for Multi Robot Cells
When two robots share state unsynchronized, stale data can send both into one zone. We use shared state constraints without a central planner bottleneck.
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The Scheduling Trap in High-Mix Assembly
High-mix exposes policy failures that rigid automation hides. Four fixture variants across six months taught us more than benchmarks.
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Why PID Controllers Struggle with Dynamic Manipulation
PID control remains elegant and useful. It reaches its limit when dynamics vary and contact states are uncertain.
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Depth Sensor Failure and Autonomous Decisions
Depth artifacts and occlusion undermine confident decisions. Neuralzome builds the perception layer its control platform depends on.
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