Multi Agent Coverage Control Simulation
(Developed by
Shirantha Welikala
.)
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Initializing – Please Wait.
Start
Pause
Reset
Restart
Coverage Level:
Debug
Simulation Time:
Number of Agents:
Display Coverage Density:
Add Physical Agents:
Sensing Range:
Sensing Decay:
Discretization Level (Px.):
Step Size:
Step Size Multiplier:
1
0.1
0.01
Boosting Method:
None
P - Boosting
Neighbor - Boosting
Phi - Boosting
Random Purtubing
V - Boosting
Arc - Boosting
VA - Boosting
Decentralized Boosting Method:
Centralized
Decentralized
Variable Steps:
; (-)ve Steps
;
Est. K
1
Globally
Auto Tune K_1
;
Est. K
1
Locally
Dim. Step (α
k
=K
0
/k
r
):
; r:
K
0
:
Load Obstacle Setup:
Blank
General
Room
Maze
Narrow
Select Obstacle:
Add New Obstacle:
Add New
Finish It
Obstacle Coordinates (Editable):
Greedy Methods, n:
Discretized Points:
Gen
Adj
Loc
Centralized Greedy
Gen.
Zig.
Stoch.(ε)
ε
Distributed Greedy
Rand. G.(m)
Seqen. G.
m
Deploy
Approx.F.
Deploy
Select Data:
Console
Positions
Derivatives
Beta*
Save Data:
Save Data
Plot Data:
Plot Data
Trajectory:
Pick Points
Follow
Particle Swarm Optimization:
Solve PSO
Play
Stop
N
Φ
P
Φ
G
W
N
it