Under an AI planner
An AI planner can choose a target or task. Your integration supplies the equations to 601 to compute a numerical solution.
PANDROSION 601 / ROBOTICS
A numerical building block for robotics. Inverse kinematics, spatial poses and target tracking in one Python file, with NumPy.
Schematic illustration · not a hardware test
TWO CONTROL APPROACHES, ONE NUMERICAL BUILDING BLOCK
An AI planner can choose a target or task. Your integration supplies the equations to 601 to compute a numerical solution.
A conventional controller can supply the same problem. The solver requires no language model, AI service or cloud account.
Planar and spatial inverse kinematics, R/P joints, analytic Jacobians, joint bounds and reuse between nearby targets.
MEASURED, WITH A STATED SCOPE
less total local solve time
less total target-tracking time
unit tests and additional numerical checks
Paired comparison with 600 on local synthetic models using fused Jacobians: two seeds, five repetitions and 11,600 resolutions per method. Same 10⁻⁸ tolerance and no lost solutions in the main campaign. Gains depend on hardware and cases; using the same callbacks, the solver alone gains about 8%.
Read the full protocol and limits ↗RELEASE 601 · MIT
Standalone Python code, documentation, examples, tests and reproducible results. NumPy is the only external dependency.
Frozen 601 delivery · no subscription
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FAQ
No. Pandrosion 601 solves equations supplied by your integration, under an AI planner or conventional controller. No language model is required.
The frozen 601 delivery: standalone Python file, validation bundle, examples, documentation, tests and MIT license. One-time purchase, no subscription or promise of updates. Network fees are separate.
Payment and downloads are on ivanbesevic.com. Create a 601 order, retain the private receipt, pay the exact quote and download after finalized verification. Agents use product_id pandrosion-601 with an authorized wallet.
Validation uses synthetic numerical models. No physical robot has been tested. Deadlines are cooperative; collisions, acceleration limits and hard real-time require suitable integration and validation.