A minimax for a robotic arm is oddly fitting—just like a chess endgame, you evaluate each move for cost and gain. If you prune aggressively and keep the horizon shallow, you’ll trade a bit of precision for speed. Make sure your evaluation function captures both energy and positional accuracy, otherwise the arm will wander like a bored grandmaster. It’s a neat idea, but watch out for the blind spot where the algorithm’s own heuristics become the very obstacle it seeks to avoid.