[solutions] Format solutions to be usable in solution blocks

labs/lab_closedloop/sections/1_openloopcontrol.md

@@ -54,4 +54,6 @@ Choose some target points and try to reach them. Then:
 #runsofa-button(file="assets/labs/lab_closedloop/lab_closedloop.py")
 ::::
 
+#solution(file="assets/solutions/lab_closedloop/answers.md", id="open-loop")
+
 :::::

labs/lab_closedloop/sections/2_proportionalcontroller.md

@@ -42,6 +42,8 @@ This controller is composed of a feedforward $q_{user}$ and a feedback part $k_p
 #open-button(file="assets/labs/lab_closedloop/myControl.py")
 
 #runsofa-button(file="assets/labs/lab_closedloop/lab_closedloop.py")
+
+#solution(file="assets/solutions/lab_closedloop/answers.md", id="proportional")
 ::::
 
 :::::

labs/lab_closedloop/sections/3_integralcontroller.md

@@ -23,6 +23,8 @@ admissible value for the robot otherwise the robot might go crazy.
 #open-button(file="assets/labs/lab_closedloop/myControl.py")
 
 #runsofa-button(file="assets/labs/lab_closedloop/lab_closedloop.py")
+
+#solution(file="assets/solutions/lab_closedloop/answers.md", id="integral")
 ::::
 
 :::::

labs/lab_closedloop/sections/4_improvecontroller.md

@@ -23,5 +23,7 @@ from the effector position.
 #open-button(file="assets/labs/lab_closedloop/myControl.py")
 
 #runsofa-button(file="assets/labs/lab_closedloop/lab_closedloop.py")
+
+#solution(file="assets/solutions/lab_closedloop/answers.md", id="improvement")
 ::::
 :::::

labs/lab_design/lab_design.md

@@ -67,6 +67,10 @@ Emio's legs (and gripper) were printed using TPU [filament](https://shop3d.ca/co
 #include(assets/labs/lab_design/sections/4_iterations.md)
 #include(assets/labs/lab_design/sections/5_deformablegripper.md)
 
+:::: solution labdesign
+#include(assets/solutions/lab_design/answers.md)
+::::
+
 ::: highlight
 #icon("user-circle") **Authors: [Quentin Peyron](https://www.linkedin.com/in/quentin-peyron-22924683/?originalSubdomain=fr) & Compliance Robotics**
 

labs/lab_inversekinematics/sections/2_kinematics.md

@@ -142,5 +142,7 @@ Also observe if and when some combinations of legs and connector configuration l
 2. What is the most *stable* configuration of the robot you have found (i.e. on which there is no mechanical instabilities)?
 
 #runsofa-button(file="assets/labs/lab_inversekinematics/lab_inversekinematics.py", pyargs=["--legsName", "blueleg-direct", "--legsModel", "beam", "--legsPositionOnMotor", "exo1motor1orientation", "exo1motor2orientation", "exo1motor3orientation", "exo1motor4orientation", "--centerPartName", "exo1centerpart"])
+
+#solution(file="assets/solutions/lab_inversekinematics/answers.md", id="exercise-1")
 ::::::
 :::::::

labs/lab_inversekinematics/sections/3_inversekinematics.md

@@ -127,5 +127,7 @@ you change the file `myQP_lab_inversekinematics.py`, you will need to close and
 
 #runsofa-button(file="assets/labs/lab_inversekinematics/lab_inversekinematics.py", pyargs=["--legsName", "blueleg", "--legsModel", "beam", "--legsPositionOnMotor", "counterclockwisedown", "clockwisedown", "counterclockwisedown", "clockwisedown", "--centerPartName", "bluepart"])
 
+#solution(file="assets/solutions/lab_inversekinematics/answers.md", id="exercise-2")
+
 ::::
 :::::

labs/lab_inversekinematics/sections/4_modelscomparison.md

@@ -36,5 +36,6 @@ between the two green and red spheres (you can also use the *Plotting* tab).
 
 #runsofa-button(file="assets/labs/lab_inversekinematics/lab_inversekinematics.py", pyargs=["--legsName", "whiteleg", "--legsModel", "exo3model", "--legsPositionOnMotor", "counterclockwisedown", "clockwisedown", "counterclockwisedown", "clockwisedown", "--centerPartName", "bluepart"])
 
+#solution(file="assets/solutions/lab_inversekinematics/answers.md", id="exercise-3")
 :::::
 ::::::

labs/lab_models/sections/2_beammodels.md

@@ -96,5 +96,7 @@ the values, and save the changes (ctrl + s).
 
 #runsofa-button(file="assets/labs/lab_models/lab_models.py", pyargs=["blueleg", "modelsexo1"])
 
+#solution(file="assets/solutions/lab_models/answers.md", id="parameters")
+
 :::::
 ::::::

labs/lab_models/sections/4_comparison.md

@@ -13,6 +13,7 @@ predict the behavior of a continuum robot, especially when the model is used for
 :::
 ::::
 
+
 :::: quiz
 **Question 2:**
 ::: question What are the disadvantages of using beam models, compared to volume models?
@@ -49,4 +50,5 @@ for global structural analyses, contact management, or multi-physics coupling wi
 :::
 ::::
 
+#solution(file="assets/solutions/lab_models/answers.md", id="quiz")
 ::::::

labs/project_pickandplace/project_pickandplace.md

@@ -71,6 +71,14 @@ including the soft gripper's 4th DoF. This will involve picking up the cube from
 
 #runsofa-button(file="assets/labs/project_pickandplace/project_pickandplace.py")
 
+::: solution pickandplace
+
+You can import the following program into Sofa Robotics.
+
+#open-button(file="assets/solutions/project_pickandplace")
+
+:::
+
 ::::
 :::::
 

solutions/.gitignore

@@ -0,0 +1,5 @@
+# Ignore everything in this directory
+*
+
+# Except this file
+!.gitignore