Merge pull request #3313 from JdeRobot/fix-obs-avoid-targets

Update db

Author: javizqh

database/exercises/db.sql

@@ -113,12 +113,12 @@ ADD GENERATED BY DEFAULT AS IDENTITY (
 
 COPY public.exercises (id, exercise_id, name, description, tags, status, url) FROM stdin;
 1	follow_line	Follow Line	The goal of this exercise is to perform a PID reactive control capable of following the line painted on the racing circuit.	["ROS2","AUTONOMOUS DRIVING", "MULTILANGUAGE"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/AutonomousCars/follow_line/
-2	vacuum_cleaner	Vacum Cleaner	Vacuum Cleaner exercise using React and RAM	["ROS2", "MULTILANGUAGE"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/MobileRobots/vacuum_cleaner
+2	vacuum_cleaner	Vacuum Cleaner	Vacuum Cleaner exercise using React and RAM	["ROS2", "MULTILANGUAGE"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/MobileRobots/vacuum_cleaner
 3	autoparking	Autoparking	Autoparking exercise testing	["AUTONOMOUS DRIVING","SERVICE ROBOTS","ROS2"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/AutonomousCars/autoparking
 4	follow_person	Follow Person	Follow a person with kobuki robot	["ROS2"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/MobileRobots/follow_person
 5	vacuum_cleaner_loc	Localized Vacuum Cleaner	Localiized vauum clenaer	["ROS2", "MOBILE ROBOTS", "SERVICE ROBOTS"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/MobileRobots/vacuum_cleaner_loc
 6	global_navigation	Global Navigation	Global navigation exercise using REACT and RAM	["ROS2"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/AutonomousCars/global_navigation
-7	rescue_people	Rescue People	Rescue People exercise	["ROS2"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/Drones/rescue_people
+7	rescue_people	Drone Rescue People	Drone Rescue People exercise	["ROS2"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/Drones/rescue_people
 8	obstacle_avoidance	Obstacle Avoidance	Obstacle Avoidance exercise using React and RAM	["ROS2","AUTONOMOUS DRIVING"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/AutonomousCars/obstacle_avoidance
 9	3d_reconstruction	3D Reconstruction	3D Reconstruction exercise using React and RAM	["ROS2","COMPUTER VISION"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/ComputerVision/3d_reconstruction
 10	amazon_warehouse	Amazon Warehouse	Control an amazon-like robot to organize a warehouse	["ROS2"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/MobileRobots/amazon_warehouse
@@ -127,7 +127,7 @@ COPY public.exercises (id, exercise_id, name, description, tags, status, url) FR
 13	marker_visual_loc	Marker Visual Loc	Calculate the position of the robot based on the	["ROS2"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/ComputerVision/marker_visual_loc
 14	laser_mapping	Laser Mapping	Build a map based on sensor readings	["ROS2"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/MobileRobots/laser_mapping
 15	basic_computer_vision	Basic Computer Vision	Basic Computer Vision exercise using React and RAM	["ROS2"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/ComputerVision/basic_computer_vision
-16	follow_road	Follow Road	Follow Road exercise	["ROS2"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/Drones/follow_road
+16	follow_road	Drone Follow Road	Drone Follow Road exercise	["ROS2"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/Drones/follow_road
 17	pick_place	Pick and Place	Pick and Place exercise	["ROS2"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/IndustrialRobots/pick_place
 18	digit_classification	Digit Classification	Deep learning-based Digit Classification.	["Computer Vision","Deep Learning","Classification"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/ComputerVision/digit_classification
 19	human_detection	Human Detection	Deep learning-based human detection.	["Computer Vision","Deep Learning"]	ACTIVE	https://jderobot.github.io/RoboticsAcademy/exercises/ComputerVision/human_detection

exercises/static/exercises/obstacle_avoidance/python_template/ros2_humble/HAL.py

@@ -9,6 +9,7 @@
 # Hardware Abstraction Layer
 IMG_WIDTH = 320
 IMG_HEIGHT = 240
+# {"name": "target10", "x": -47, "y": 45},
 
 
 # Mutes exceptions