LCMRF: see the local, understand the whole
A local measurement and recovery framework, presented through tetrahedral design studies and a synthetic software demonstration.
The idea
LCMRF stands for Local Coherence Measurement & Recovery Framework. The project explores how local measurements can reveal a problem that a whole-system average may miss.
The work shown
The 1:40 presentation connects mathematical foundations, engineering requirements, Python software and simulation studies. A tetrahedral module with four motors and three fractal surface regions provides the starting geometry. A larger assembly illustrates the recursive design direction.
The software demonstration
A synthetic node fault drives a local metric down. A same-phase backup then restores the modeled metric. The sequence makes the detection and recovery logic visible; it demonstrates software behavior rather than measured hardware recovery.
Reference models
The presentation shows tetrahedral, quadrotor and fixed-wing reference geometries. It also introduces the engineering package: mathematics, source code, interfaces, measurement requirements and test gates.
Project stage
The hardware images are concept illustrations. Software test results shown in the video belong to that recorded demonstration; they are not a current independent audit or evidence of flight performance. Physical recovery, lift and flight performance require measurement and validation.
The next step
The proposed path begins with a powered bench rig and synchronized pressure, force and vibration measurements, followed by model correlation and staged testing. Contact Markus to discuss the research, engineering work or a development collaboration.
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