Update README.md

README.md

@@ -3,7 +3,7 @@
 ## Synopsis
 
 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.
-
+[Project Website](https://uclalemur.com/research/colo-simulation-environment-for-cooperative-localization)
 ## Structure
 
 There are two main parts in CoLo: a physical experiment (CoLo-PE) for data collection and a software analysis tool (CoLo-AT)
@@ -11,6 +11,18 @@ In CoLo-PE, it will shows the requriment hardwares and softwares needed for sett
 In CoLo-AT, users can load their localization algorithms and test their performances using different datasets on various settings. 
 Each parts can be used independetly for users' needs. 
 
+## Cite this work
+```
+@INPROCEEDINGS{Chen2019,
+  author={Chen, Shengkang and Mehta, Ankur},
+  booktitle={2019 International Conference on Robotics and Automation (ICRA)}, 
+  title={CoLo: A Performance Evaluation System for Multi-robot Cooperative Localization Algorithms}, 
+  year={2019},
+  volume={},
+  number={},
+  pages={1458-1464},
+  doi={10.1109/ICRA.2019.8794311}}
+```
 
 ## Authors
 
@@ -18,6 +30,8 @@ Each parts can be used independetly for users' needs.
 
 **Ben Limpanukorn**
 
+**Ankur Mehta** 
+
 ## CoLo Structure
 ![CoLo Structure](CoLo Structure.jpg?raw=true)