Collision avoidance in swarms in Drone Programming - Step-by-Step Execution

Concept Flow - Collision avoidance in swarms

Start: Initialize swarm positions

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For each drone in swarm

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Check nearby drones within safety radius?

No→Maintain current path

Yes↓

Calculate avoidance vector

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Adjust drone velocity and direction

↓

Update drone position

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Repeat for all drones

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End of time step, repeat loop

Each drone checks nearby drones, calculates avoidance moves if too close, then updates position to avoid collisions.

Execution Sample

Drone Programming

for drone in swarm:
    neighbors = find_neighbors(drone, swarm, radius)
    if neighbors:
        avoid = compute_avoidance(drone, neighbors)
        drone.velocity += avoid
    drone.position += drone.velocity

Each drone looks for neighbors, computes avoidance if needed, then moves.

Execution Table

Step	Drone ID	Neighbors Found	Avoidance Vector	Velocity Before	Velocity After	Position Before	Position After
1	Drone 1	[]	[0,0]	[1,0]	[1,0]	[0,0]	[1,0]
1	Drone 2	[Drone 1]	[-0.5,0]	[1,0]	[0.5,0]	[2,0]	[2.5,0]
1	Drone 3	[Drone 2]	[-0.3,0.1]	[1,0]	[0.7,0.1]	[4,1]	[4.7,1.1]
End	-	-	-	-	-	-	All drones updated positions, loop ends for this step

💡 All drones processed for this time step, positions updated to avoid collisions.

Variable Tracker

Variable	Start	After Drone 1	After Drone 2	After Drone 3	Final
Drone 1 Position	[0,0]	[1,0]	[1,0]	[1,0]	[1,0]
Drone 1 Velocity	[1,0]	[1,0]	[1,0]	[1,0]	[1,0]
Drone 2 Position	[2,0]	[2,0]	[2.5,0]	[2.5,0]	[2.5,0]
Drone 2 Velocity	[1,0]	[1,0]	[0.5,0]	[0.5,0]	[0.5,0]
Drone 3 Position	[4,1]	[4,1]	[4,1]	[4.7,1.1]	[4.7,1.1]
Drone 3 Velocity	[1,0]	[1,0]	[1,0]	[0.7,0.1]	[0.7,0.1]

Key Moments - 3 Insights

Why does Drone 1 have no neighbors and no avoidance vector?

Drone 1 is the first checked and no other drones are within its safety radius yet, so it keeps its velocity unchanged (see execution_table row 1).

Why does Drone 2's velocity change after detecting Drone 1?

Drone 2 finds Drone 1 nearby, so it computes an avoidance vector to reduce collision risk, changing its velocity from [1,0] to [0.5,0] (see execution_table row 2).

How does the avoidance vector affect the drone's position?

The avoidance vector adjusts the velocity, which then updates the position by adding the new velocity to the current position (see execution_table rows 2 and 3).

Visual Quiz - 3 Questions

Look at the execution table, what is Drone 3's velocity after avoidance calculation?

A [1,0]

B [0.7,0.1]

C [-0.3,0.1]

D [0.5,0]

💡 Hint

Check the 'Velocity After' column for Drone 3 in the execution_table.

At which step does Drone 2 detect neighbors and adjust velocity?

A Step 1

B Step 2

C End

D No adjustment

💡 Hint

Look at the 'Neighbors Found' and 'Velocity After' columns for Drone 2 in the execution_table.

If Drone 1 moved faster, how would that affect Drone 2's avoidance vector?

A Avoidance vector would be larger to keep distance

B Avoidance vector would be smaller

C No change in avoidance vector

D Drone 2 would stop moving

💡 Hint

Consider how velocity affects proximity and avoidance calculations shown in variable_tracker.

Concept Snapshot

Collision avoidance in swarms:
- Each drone checks nearby drones within a safety radius.
- If neighbors are close, compute an avoidance vector.
- Adjust velocity by adding avoidance vector.
- Update position by adding velocity.
- Repeat for all drones each time step to prevent collisions.

Full Transcript

In collision avoidance for swarms, each drone looks around to find nearby drones within a safety radius. If it finds any, it calculates a small vector to move away from them, called the avoidance vector. This vector changes the drone's velocity to steer clear of collisions. Then the drone updates its position by moving according to the new velocity. This process repeats for every drone in the swarm each time step, ensuring they keep safe distances and avoid crashing into each other.