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MIT Drake: Robot Motion and Route Planning
Grades 9-12: computing robot joint angles, route...
Where this course comes fromThe universities and labs named here made the open projects or materials this course draws on. CIT designed the course independently; it is not an official, affiliated, or endorsed course of those institutions.
- MITOpen project it is built on
- Free consultation and level check
- Apgujeong classroom or online
- One-to-one or small group
- Registered academy no. 11882
Is MIT Drake: Robot Motion and Route Planning a good fit for high school students in Grades 9-12?
MIT Drake: Robot Motion and Route Planning is a good fit for students in grades 9-12 who are interested in computing robot joint angles and route planning around obstacles. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make a robot route-planning app, a screen comparing two routes and collision points, and replanning code with unit tests.
The course is built on an open project published by MIT. Students run the Drake robot example, read the current state of the robot's body and joints, and compute how it moves over time. They find the joint angles that bring the robot's hand to a target (inverse kinematics) from two starting poses, compare the results, and test whether changing weight or friction also changes the path around obstacles. The course ends with a route-planning app that replans when an obstacle is added and compares the new route's length, time, and collision margin with the old one. The student then designs and tests an extension of their own: a new question, feature, model, interface, or solution. In an application or interview, the student separates the source research from their own decisions, results, failed attempts, revisions, and limits.
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- Age group
- Grades 9-12
- Academic subject
- AI & Data, Engineering & Robotics, Physics & SpaceBrowse subject
- Course type
- Course
- Format
- Online or Apgujeong in person · one-to-one or small group
- Teaching language
- Korean by default, with complete English materials
- Curriculum status
- Lesson-readyEvery learning item includes the evidence, worked example, practical work, and tutor guidance required by CIT's lesson-ready standard.
From open research to student-owned work
Students inspect a relevant public source, reproduce the idea, then add an original question, feature, or test. The material this course reads was made at MIT. Names identify the source, not affiliation or endorsement.
- MITOpen project it is built on
How can I explain this course to my child?
If questions about computing robot joint angles or route planning around obstacles keep making you ask why, MIT Drake: Robot Motion and Route Planning lets you investigate the question with evidence, then build and defend an extension of your own.
Which interests suggest this course?
- computing robot joint angles
- route planning around obstacles
- how weight and friction change motion
What does the student finish?A robot route-planning app, a screen comparing two routes and collision points, and replanning code with unit tests.
Is this a good fit?
A strong fit for students who want to understand, build, test, or responsibly use AI systems.
Course placement follows current subject and coding readiness.
Students should be ready to document sources, methods, and limits.
Advanced tools are introduced after a clear baseline.
What will my child learn?
- Explain how joint states and motion computed over time determine what the robot does.
- Find joint angles that reach a target from two starting poses and compare their results and intermediate steps.
- Change only weight or friction and check, from before-and-after results, whether the path around obstacles changes.
- Design a feature that compares the length, time, and collision margin of a new route with the old one.
- MITOpen project it is built on
How does the course progress?
- 1Understanding the Research Question and Baseline Behavior
Run the Drake robot example and check the body, the joints, their current state, and the order in which motions follow.
- 2Connecting Sensors, Actions, and Measurements
Compute motion over time, then find joint angles that bring the hand to a target from two starting poses and compare them.
- 3Building a Feature and Control Screen from Evidence
Change only weight or friction to compare routes, then build a feature that replans when an obstacle is added.
- 4Testing the Integrated App and Explaining the Design
Connect a screen for placing the robot and obstacles and viewing both routes and collision points, then test the integrated app.
What counts as useful evidence?
A robot route-planning app, a screen comparing two routes and collision points, and replanning code with unit tests.
What should an admissions reader be able to see?
The course is built on an open project published by MIT. The student works out what those researchers were trying to learn, why the question matters, and how they tested it, then designs and tests an extension of their own: a new question, feature, model, interface, or solution. In an application or interview, the student separates the source research from their own decisions, results, failed attempts, revisions, and limits.
Useful evidence may include a documented dataset, baseline comparison, model evaluation, error analysis, and a clear record of the student's own decisions.
These names identify who published the open project the course starts from. The evidence an application reads is what the student understood, completed, and can explain.
The real research project this course reads
- RobotLocomotion/drake
- pinned commit
b07bab525ccb - commit date 2026-08-14
- licence Multiple file-level licenses; inspect upstream LICENSE.TXT and notices
- text files 5,297
The student finds where state is gathered in robotics software used by university labs, and explains it in their own words. In class the project is separated into five boxes (input, memory, process, output, control). The lesson opens one of them, changes one value, and leaves the rest closed.
- InputWhat comes in?
The model files that describe robot and objects, and the input ports that feed each block
- Memoryopened hereWhat persists?
The context that gathers state and parameters in one place. Not hiding state inside a block is this project's rule.
- ProcessWhat transforms?
The multibody physics that computes bodies and contact, and the diagram that wires blocks into one system
- OutputWhat leaves, and who uses it?
Values leaving through output ports, signals kept in a log, and the scene drawn on screen
- ControlWhat decides when anything runs?
The simulator that decides how far to advance time and where to stop on an event
InputModels and ports
multibody/parsing/parser.hsystems/framework/system.h
MemoryOne shared context
systems/framework/context.hsystems/framework/leaf_system.h
ProcessPhysics and wiring
multibody/plant/multibody_plant.hsystems/framework/diagram.h
OutputValues at the ports
systems/primitives/vector_log_sink.hgeometry/meshcat.hgeometry/scene_graph.h
ControlWhat advances time
systems/analysis/simulator.h
The files the lesson opens, by name. The course is not a walk through the repository; it opens a chosen few and says which.
One value moves and everything else stays. The right-hand column is the prediction written before the run, not a result; the work is reconciling the two.
On a narrow screen, swipe the picture sideways.
The universities and labs named here made the open projects this course reads. CIT designed the course independently; it is not an official, affiliated, or endorsed course.
- MITOpen project it is built on
Questions parents search before choosing this course
Is MIT Drake: Robot Motion and Route Planning a good fit for high school students in Grades 9-12?
MIT Drake: Robot Motion and Route Planning is a good fit for students in grades 9-12 who are interested in computing robot joint angles and route planning around obstacles. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make a robot route-planning app, a screen comparing two routes and collision points, and replanning code with unit tests.
Can my child take MIT Drake: Robot Motion and Route Planning online or in person, one-to-one or in a small group?
Yes. CIT offers online and in-person lessons at its Apgujeong academy in Gangnam, Seoul, with one-to-one and small-group options. A readiness consultation confirms the available format and starting point for the course.
Does my child need prior subject knowledge or coding experience for MIT Drake: Robot Motion and Route Planning?
Course placement follows current subject and coding readiness. Students should be ready to document sources, methods, and limits. Advanced tools are introduced after a clear baseline.
What will my child make or practice in MIT Drake: Robot Motion and Route Planning?
The main evidence is a robot route-planning app, a screen comparing two routes and collision points, and replanning code with unit tests. Students also document decisions, tests, feedback, and limits in age-appropriate language.
How can MIT Drake: Robot Motion and Route Planning show research understanding in a college application?
The course is built on an open project published by MIT. The student works out what those researchers were trying to learn, why the question matters, and how they tested it, then designs and tests an extension of their own: a new question, feature, model, interface, or solution. In an application or interview, the student separates the source research from their own decisions, results, failed attempts, revisions, and limits. Useful evidence may include a documented dataset, baseline comparison, model evaluation, error analysis, and a clear record of the student's own decisions.
How are the schedule and tuition for MIT Drake: Robot Motion and Route Planning determined?
CIT confirms the student's readiness, goal, location, class size, and current availability before recommending a course plan. The consultation and level check are free; tuition is explained before enrollment.
When should a student start?
There is no fixed intake month. CIT reviews the student's current school term, readiness, and available hours, then names the point in the course where they should begin.
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