I’m working on a 2D platformer game and need help with enemy AI behavior. My enemies can chase the player perfectly when they’re on the same platform, but they get stuck when there’s a gap between platforms.
The problem happens when the enemy reaches the edge of a platform and needs to jump to continue following the player. Right now they just walk off the edge or stop moving completely.
I need the AI to detect when there’s no ground ahead and automatically jump to reach the next platform. What’s the most effective approach to implement this gap detection and jumping logic for enemy characters?
Gap detection depends on your game’s complexity, but I’ve had good luck combining forward ground checks with vertical scanning. Drop a ground check ray about half a tile ahead of your enemy - when it comes back false, cast another ray downward from that spot to measure gap depth. If the gap’s within jump range, trigger the jump with calculated horizontal velocity. Here’s what most tutorials miss: factor in the enemy’s current speed when calculating jump force. Skip this and your enemies will overshoot narrow platforms or fall short on wider gaps. Also throw in a brief pause before jumping - makes the AI feel more deliberate instead of twitchy and robotic.
Physics-based approach works way better than you’d expect. Set up collision detection on the enemy’s front edge - when they hit empty space, calculate jump trajectory with basic physics formulas.
I built this for a mobile game two years ago. The trick is predicting where they’ll land before jumping. Use jump arc formulas to check if the landing spot has solid ground. No ground? Don’t jump.
Make enemies look further ahead than just the next tile. I scan 3-4 tiles forward to see the full gap width. Stops them from attempting impossible jumps across huge chasms.
One thing that saved me tons of debugging - visualize the detection rays in your editor. You’ll spot issues instantly when you can see exactly what the AI detects.
Add some randomization to jump timing too. Enemies feel less robotic when they don’t all jump at the exact same pixel every time.
State machines nailed this for my 2D game. Skip reactive detection - I used three states: Chase, PrepareJump, and ExecuteJump. When the enemy hits a platform edge, it switches to PrepareJump. This gives time to calculate the jump instead of making snap decisions. During PrepareJump, the AI checks gap width and platform height, then decides if it’s doable based on movement stats. No more enemies attempting impossible jumps or freezing at edges forever. The breakthrough was treating jumps as planned moves, not panic responses. Enemies look way smarter when they pause at gaps, size things up, then make a confident leap. Works great with A-star pathfinding if you mark jump spots as special nodes.
Had this exact problem last year with my indie platformer. Here’s what worked: use a simple raycast system that checks ahead of the enemy’s movement. Cast a ray down from about one unit ahead of where the enemy’s going next frame. No ground hit within reasonable distance? Jump. Add a cooldown timer so they don’t spam jump, and check if the target platform’s actually within range first. Pro tip I learned the hard way - give enemies slightly different jump params than your player. They usually need more horizontal velocity to clear gaps that look easy for us.
Drop invisible trigger boxes at platform edges. When an enemy hits one, check if the next platform’s close enough to jump to. Way easier than raycasting and works reliably most of the time.
