Update index.html

Author: BrendanEnglot

index.html

@@ -34,12 +34,11 @@ <h2>Robust Autonomy in Complex Environments</h2>
 robots&nbsp;achieve robust autonomy in complex physical
 environments. Specific goals include improving the reliability of
 autonomous navigation for unmanned underwater, surface, ground and aerial
-vehicles
-subjected to noise-corrupted and drifting sensors, incomplete knowledge
+vehicles subjected to noise-corrupted and drifting sensors, bandwidth-limited communications, incomplete knowledge
 of the environment, and tasks that require interaction with surrounding
 objects and structures. Our recent work uses artificial intelligence to 
-improve the situational awareness of mobile robots operating in degraded conditions, </span></p>
-
+improve the situational awareness of mobile robots operating in degraded conditions, 
+and to enable intelligent robot decision-making under uncertainty.</span></p>
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 <div style="text-align: center;"> <img style="width: 251px; height: 131px;" alt="" src="./index_files/VideoRay1.jpg" /> <img style="width: 258px; height: 131px;" alt="" src="./index_files/VideoRay2.jpg" /> <img style="width: 210px; height: 131px;" alt="" src="./jackal-kinova.png" /><br />
 </div>