A new benchmark shows LLMs can design PID and sliding-mode controllers for nonlinear multi-DoF systems, and a 1.5B reasoning-distilled model matches larger models on the benchmark and in physical trials.
A shared control framework for enhanced grasping performance in teleoperation,
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Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems
A new benchmark shows LLMs can design PID and sliding-mode controllers for nonlinear multi-DoF systems, and a 1.5B reasoning-distilled model matches larger models on the benchmark and in physical trials.