Tiago Teixeira

Responsible for 2D Path Planning and Guidance. My work involves adapting an existing ROS Node to dynamically consider the robot’s height and footprint when converting the Ouster point cloud into obstacles on a 2D map.

Week 3 (4th Period)

António Morais, Tiago Teixeira and João Pinheiro
4th Period - Weekly Progress

3D Mapping → LIO-SAM Following last weeks updates the team made tests with the Jackal robot and the LiDAR_IMU_Init package.

Week 1 (4th Period)

António Morais and Tiago Teixeira
4th Period - Weekly Progress

2D Path Planning/Guidance During Week 7 (3rd Period), the first of two main tasks for 2D Path Planning/Guidance was completed.

Week 7 (3rd Period)

António Morais, Catarina Caramalho, João Pinheiro and Tiago Teixeira
3rd Period - Weekly Progress

3D Mapping → LIO-SAM During this week, the team delved into testing the LIO-SAM algorithm, but a problem arose from the need for synchronization of the Inertial Measurement Unit (IMU) and LiDAR.

Week 6 (3rd Period)

Catarina Caramalho and Tiago Teixeira
3rd Period - Weekly Progress

3D Localization When trying to simulate both algorithms, the students faced two problems.

Week 5 (3rd Period)

António Morais, Catarina Caramalho and Tiago Teixeira
3rd Period - Weekly Progress

3D Mapping → A-LOAM This week, the team collected real data from the robot’s Ouster LiDAR to conduct testing with A-LOAM .