diff --git a/@agent/run.m b/@agent/run.m
index 933312d..6cbb8ca 100644
--- a/@agent/run.m
+++ b/@agent/run.m
@@ -30,7 +30,7 @@ function obj = run(obj, domain, partitioning, timestepIndex, index, agents)
         % Compute performance values on partition
         if ii < 5
             % Compute sensing performance
-            sensorValues = obj.sensorModel.sensorPerformance(obj.pos, obj.pan, obj.tilt, [maskedX, maskedY, zeros(size(maskedX))]); % S_n(omega, P_n) on W_n
+            sensorValues = obj.sensorModel.sensorPerformance(pos, obj.pan, obj.tilt, [maskedX, maskedY, zeros(size(maskedX))]); % S_n(omega, P_n) on W_n
             % Objective performance does not change for 0, +/- X, Y steps.
             % Those values are computed once before the loop and are only
             % recomputed when +/- Z steps are applied
diff --git a/test/test_miSim.m b/test/test_miSim.m
index ba5659c..280968e 100644
--- a/test/test_miSim.m
+++ b/test/test_miSim.m
@@ -31,8 +31,8 @@ classdef test_miSim < matlab.unittest.TestCase
         objective = sensingObjective;
 
         % Agents
-        minAgents = 4; % Minimum number of agents to be randomly generated
-        maxAgents = 6; % Maximum number of agents to be randomly generated
+        minAgents = 2; % Minimum number of agents to be randomly generated
+        maxAgents = 2; % Maximum number of agents to be randomly generated
         sensingLength = 0.05; % length parameter used by sensing function
         agents = cell(0, 1);