Implemented Catcher the non-coorperative agents in ros

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README.md

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+## Catching the non-cooperative agent
+
+This project is built upon the current implementation of the [Teaming Heterogeneous Ground and Micro-Aerial Robots for Following
+of Non-Cooperative Agents](https://raaslab.org/icra2023-hmrs/assets/contributed_papers/Ori_A_Miller_et_al.pdf)
+
+Targets:
+- [ ] Improving the prediction usiing kalman predictor
+- [ ] Using Fuel contraints to gain the optimal path that a UAV and UGV should follow
+- [ ] It is not necessary that UAV and UGV should follow same number of points they should be nearly independent
+
+![img](https://lh3.googleusercontent.com/8UXw1B8W2pv5L7X4VIjYxJCW99FevBTlxePC9rCUy8Wum401uCN7g5U9q6hapnJf-_HcGprfS4pObYFPwv_4PTFEXgSJl2U-eCagH7KHOYqMj-Eghug_qRIink8FoR7KFIYikL04n4a_u4wM2bc_wMVfI7L8r_8OBLTjzWU2-Y4dLRBUZja81R_rCE7Z0d_HNXUf1dWyX0SJXA3Zcr8mukAELd3DZNEH8A901ivj-TNbhZ1v_eIwIEW_VVQjIQLnbDgGGXOgpmHgZfi4Lklh34S6rKhcfrv_aHCM6IvXGT4zD52oobiUHbHAqGWHesDhDUqdfj1bysOnItPeVaRAScFlFd7Mz4zt1s3Z6BA0bY9a4NAPh881vGUTe4T4ufZB98XQm3OqVV8p4eckag70f19TgJNzdICD-UoY53ZGaREwgS4rU0tDK6rpvLnuO_myRvRaCXo5snw3EJb59vr23HDpcvdUgUwyovID1flbrrtsw4Y1xqP-DkKJJf6KmD6p4M5i4ubRsXLmtAtboXLcpS3zPLbAb9yfpDb15kwpRZjONn-S8hWimfeSVW90iRpQyRN_p8OBzxgsyN3R1T7ZQId5K5gAGVEW8I-_kD5EuAJdWzuOsgXMi7vPGPfCHWBdmegugRZM09bfK-w1vFCnSgF_LZ_TiB5VYXkpG3kYGC7uMnZTE5yLCkLK91VkM6y4kjSym64Nb05Xzck11FxaqopMeQpHEj0CNvgrBcjuSBeppB3YfiBwYGvaL05ts0Wi93VNLyp9Eqkt0pcsGXjEJAs9j9sPO8PH_ZuqYTdjix-Pk4fZJSl7VcemGy0ZRmzMg8P5XZlqszRyR-PZM5-scR349lsvHdLC-Wfmsg4veUlNAEfTlwifTEZKxXmvFnwZDceir9Fft8zTERWJlpabWnGUbkgO9cSebbfyoYoq1x3nFCcCSqZlvoyVLhA-aR-_BeHuAIRMWHLqwVt-cUESpnKh0WRUP0XBrxnFJiRxGpWJGWoyas9QgDI=w1024-h1366-s-no?authuser=0)
+
+### Setup
+
+Environment is free from obstacles (as of now), there are 3 turtlebots one of them is a non-cooperative agent and other two resembles UAV and UGV
+
+![turtlebot_spawned](https://github.com/aPR0T0/Catching-the-non-cooperative-agent/assets/97826285/72ce76dd-7516-4b29-85f5-5dfbc58ab701)