diff --git a/CoLo-AT/README.md b/CoLo-AT/README.md
index d077de3f953ad856b0cb1f6ca6d7ad19a9576041..1bfb80a1794ac00eff2426b6368a5eccf514194c 100755
--- a/CoLo-AT/README.md
+++ b/CoLo-AT/README.md
@@ -2,8 +2,10 @@
 
 ## Synopsis
 
-Cooperative localization is still a challenging task for cooperative robot control. CoLo is a robotic simulation environment for cooperative localization or cooperative simultaneous localization and mapping (SLAM) using real world dataset[1] or simulated data. The goal of this project to let users to create and test their own algorithms with some existing algorithms. Compared with other popular robotic simulation environments[2], it has fewer dependencies and more convenient to add localization algorithms without worry much about the robot settings. Moreover, it is able to use both real world data and simulated data to test the robustness and liabilities of these algorithms, whereas other simulation environments use only simulated data.
-https://drive.google.com/file/d/1NlUM2QXT_KfZkVOJu3Xsm8_QL8OSy6hz/view?usp=sharing
+CoLo-AT is the software analysis tool of CoLo using Python. It is a robotic testing environment for cooperative localization using real world dataset[1].  Compared with other popular robotic simulation environments[2], it has fewer dependencies and more convenient to add localization algorithms without worry much about the robot settings. Moreover, it is able to use both real world data to test the robustness and liabilities of these algorithms, whereas other simulation environments use only simulated data. Users can use CoLo_AT to evaluate their algorithms using the analysis results provided by CoLo-AT
+
+[CoLo-AT Manual](https://docs.google.com/document/d/1XOe8ZwLlM2DbLjeteLUff9cUuHIKdVW1M-U7jzvrrok/edit#)
+
 
 ## Features
 
@@ -42,7 +44,7 @@ python Localization_envir.py
 ![Sample Code for running CoLo]( https://git.uclalemur.com/billyskc/Simulation-Environment-for-Cooperative-Localization/raw/master/RunningCoLo.png)
 
 
-## Available Aglorithm:
+## Available Algorithms:
 1. LS-Cen
 2. LS-CI
 3. LS-BDA
diff --git a/README.md b/README.md
index 1ec9c8b6e422f198af8ca9cdc287ab58fb9d4271..f6372caacee34b979d44175739678bbb65c6e574 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
 
 ## Synopsis
 
-CoLo is a performance evaluation system for two-dimensional cooperative localization algorithms. The system consists of a physical experiment (CoLo-PE) for data collection and a software analysis tool (CoLo-AT) using real-world datasets to evaluate the performances of users’ cooperative localization algorithms.
+Cooperative localization is still a challenging task for cooperative robot control. CoLo is a performance evaluation system for two-dimensional cooperative localization algorithms. The system consists of a physical experiment (CoLo-PE) for data collection and a software analysis tool (CoLo-AT) using real-world datasets to evaluate the performances of users’ cooperative localization algorithms. The goal of this project to let users to create and evaluate their own algorithms with some existing algorithms.
 
 ## Structure