MSc Student of CINVESTAV Guadalajara

Karim Luna

I work on multi-agent coordination for drones and ground robots — how many small, resource-constrained units can cooperate toward goals none of them could reach alone. My current frontiers are approximation of dynamical systems, world models, and auction-based task allocation.

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SELECTED WORK

Double Inverted Pendulum: SAC Swing-Up + Policy Compression

SAC swing-up controller distilled to an INT8 policy small enough to run on an STM32H7.

PyTorch · MuJoCo · STM32H7 · C

Ground Robot MRTA: Auction Baselines vs. MARL

Multi-robot task allocation in MuJoCo + PettingZoo, comparing auction-based allocation against learned coordination.

MuJoCo · PettingZoo · Python