diff --git a/Progress_Documentation/real_Robot_trajectory_obstacle_detection.gif b/Progress_Documentation/real_Robot_trajectory_obstacle_detection.gif new file mode 100644 index 0000000000000000000000000000000000000000..4bd6f0047b847db15f2e463578ba789309c126a8 Binary files /dev/null and b/Progress_Documentation/real_Robot_trajectory_obstacle_detection.gif differ diff --git a/Progress_Documentation/Screencast from 05-10-2025 10_18_06 AM.gif b/Progress_Documentation/trajectory_obstacle_detection.gif similarity index 100% rename from Progress_Documentation/Screencast from 05-10-2025 10_18_06 AM.gif rename to Progress_Documentation/trajectory_obstacle_detection.gif diff --git a/README.md b/README.md index 5ce83bc5eaedbfb89528e32e25b059a9bd1ffcdc..783d1723032230ebcf9647f6bf873901d9d162f4 100644 --- a/README.md +++ b/README.md @@ -16,7 +16,12 @@ In the following GIF, you can see my first attempt to filter a PointCloud using This GIF illustrates a dense random PointCloud surrounding a UR10 robot simulated in **Gazebo Classic** and visualized in **RViz2**. Initially, the unfiltered PointCloud is displayed, followed by a filtered view highlighting points close to the robot in red.  -This GIF provides a quick visual representation of the sensor's functionality and its integration with the robot system. + +This GIF demonstrates a real robot visualized in **RViz2**, with its goal state represented in orange. The robot attempts to reach the target position but halts due to an obstacle detected in its trajectory. + + + +This GIFs provide a quick visual representation of the sensor's functionality and its integration with the robot system. ## Table of Contents