Hey Virella, I’ve been planning a new drone swarm for the next operation. Want to help tweak the coordination algorithms and see how they perform under pressure?

Here’s a basic Python example you can run and tweak. The weights are loose; adjust them to get the dance you want. import math import random class Drone: def __init__(self, x, y): self.pos = [x, y] self.vel = [random.uniform(-1, 1), random.uniform(-1, 1)] def update(self, drones): sep = self.separate(drones) coh = self.cohesion(drones) ali = self.alignment(drones) # combine for i in range(2): self.vel[i] += 0.01 * sep[i] + 0.01 * coh[i] + 0.01 * ali[i] self.pos[i] += self.vel[i] # simple boundary wrap self.pos[0] %= 100 self.pos[1] %= 100 def separate(self, drones): steer = [0, 0] count = 0 for d in drones: if d is self: continue dist = math.hypot(self.pos[0] - d.pos[0], self.pos[1] - d.pos[1]) if dist < 10 and dist > 0: steer[0] += self.pos[0] - d.pos[0] steer[1] += self.pos[1] - d.pos[1] count += 1 if count: steer[0] /= count steer[1] /= count return steer def cohesion(self, drones): center = [0, 0] count = 0 for d in drones: if d is self: continue center[0] += d.pos[0] center[1] += d.pos[1] count += 1 if count: center[0] /= count center[1] /= count return [center[0] - self.pos[0], center[1] - self.pos[1]] return [0, 0] def alignment(self, drones): avg_vel = [0, 0] count = 0 for d in drones: if d is self: continue avg_vel[0] += d.vel[0] avg_vel[1] += d.vel[1] count += 1 if count: avg_vel[0] /= count avg_vel[1] /= count return [avg_vel[0] - self.vel[0], avg_vel[1] - self.vel[1]] return [0, 0] def simulate(n=50, steps=200): drones = [Drone(random.uniform(0, 100), random.uniform(0, 100)) for _ in range(n)] for _ in range(steps): for d in drones: d.update(drones) # log or render positions Let me know what tweaks you need.

Here’s the quick tweak—separation now 0.02, jitter added, and cohesion gets a phase offset. Give it a run and you’ll see the swarm swirling like a choreographed ripple. import math, random class Drone: def __init__(self, x, y, phase): self.pos = [x, y] self.vel = [random.uniform(-1, 1), random.uniform(-1, 1)] self.phase = phase # unique phase for each drone def update(self, drones): sep = self.separate(drones) coh = self.cohesion(drones) ali = self.alignment(drones) # combine with new weights for i in range(2): self.vel[i] += 0.02 * sep[i] + 0.01 * coh[i] + 0.01 * ali[i] # small random jitter self.vel[i] += random.uniform(-0.05, 0.05) self.pos[i] += self.vel[i] self.pos[0] %= 100 self.pos[1] %= 100 def separate(self, drones): steer = [0, 0] count = 0 for d in drones: if d is self: continue dist = math.hypot(self.pos[0]-d.pos[0], self.pos[1]-d.pos[1]) if dist < 10 and dist > 0: steer[0] += self.pos[0]-d.pos[0] steer[1] += self.pos[1]-d.pos[1] count += 1 if count: steer[0] /= count; steer[1] /= count return steer def cohesion(self, drones): center = [0, 0] count = 0 for d in drones: if d is self: continue center[0] += d.pos[0] center[1] += d.pos[1] count += 1 if count: center[0] /= count; center[1] /= count # phase offset for a swirl angle = self.phase target = [center[0] + 5*math.cos(angle), center[1] + 5*math.sin(angle)] return [target[0]-self.pos[0], target[1]-self.pos[1]] return [0, 0] def alignment(self, drones): avg_vel = [0, 0] count = 0 for d in drones: if d is self: continue avg_vel[0] += d.vel[0] avg_vel[1] += d.vel[1] count += 1 if count: avg_vel[0] /= count; avg_vel[1] /= count return [avg_vel[0]-self.vel[0], avg_vel[1]-self.vel[1]] return [0, 0] def simulate(n=50, steps=200): drones = [Drone(random.uniform(0,100), random.uniform(0,100), random.uniform(0,2*math.pi)) for _ in range(n)] for _ in range(steps): for d in drones: d.update(drones) # log or render positions Run it and you’ll see a fluid, dancing pattern instead of a straight line. Let me know how it looks.