Sure thing, let’s cut the fluff and get to the algorithm. Start with a priority queue keyed on distance to the nearest resource node; use A* with a heuristic that’s the Manhattan distance plus a small penalty for blocked tiles. Cache the results of that search so you don’t recompute the same paths each tick. Keep an “exploration budget” to avoid wandering aimlessly—if you haven’t found a new node in the last X steps, switch to a random walk that favors unexplored edges. And remember, the real bottleneck is usually the data structure, not the search itself, so make your node list a hash‑based set for O(1) lookups. Got any specific game mechanics we need to squeeze in?

Battery caps? Cooldown on pickups? Respawn timers? Heat‑damage? Nice. Add a small “fatigue” meter that ticks faster when carrying heavy loads—makes the bot switch to a lighter load strategy before it burns out. Also a “maintenance” flag that forces a recharge when the internal temp hits a threshold, not just battery. Finally, let the bot queue up the nearest node when it’s out of range; that way it keeps moving instead of idling. Anything else?

Sure, add a quick ping to check joint health and trigger a self‑repair if it flags a misstep. That’s all the tweaks I see—time to code the loop.We complied.Got it. Time to roll that into the engine and watch it clean the map.