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Caltech AMBER: Robot Balance Experiments
Grades 9-12: how robots keep their balance, motor force...
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.
- CaltechOpen 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 Caltech AMBER: Robot Balance Experiments a good fit for high school students in Grades 9-12?
Caltech AMBER: Robot Balance Experiments is a good fit for students in grades 9-12 who are interested in how robots keep their balance and motor force in robot joints. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make a robot balance test app, a screen tracking tilt and recovery time, and recovery code with test records.
The course is built on an open project published by Caltech. In the AMBER robot example, students change the motor force that drives the joints to find the conditions under which a simulated robot loses its balance. After studying the robot's body and joints and setting the path each joint will follow, they change the motor force setting and the starting pose one at a time and compare whether the robot falls. They also build and test a feature that starts a planned recovery move when the robot tilts and stops it safely if recovery fails. 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 Caltech. Names identify the source, not affiliation or endorsement.
- CaltechOpen project it is built on
How can I explain this course to my child?
If questions about how robots keep their balance or motor force in robot joints keep making you ask why, Caltech AMBER: Robot Balance Experiments lets you investigate the question with evidence, then build and defend an extension of your own.
Which interests suggest this course?
- how robots keep their balance
- motor force in robot joints
- recovery moves after a tilt
What does the student finish?A robot balance test app, a screen tracking tilt and recovery time, and recovery code with test records.
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?
- Read how the robot's body and joints are built and explain how each joint's path shapes the motion.
- Change only the motor force setting or the starting pose and compare whether the robot stays balanced.
- Decide, before writing code, how much tilt starts a recovery move and when the robot must stop safely.
- Show joint motion, tilt, and recovery time on one screen to find the conditions that lead to a fall.
- CaltechOpen project it is built on
How does the course progress?
- 1Understanding the Research Question and Baseline Behavior
Confirm the software version, run the robot example, and study how the robot's body and joints connect.
- 2Connecting Sensors, Actions, and Measurements
Set the path each joint follows and vary the motor force setting, comparing balance from the same start.
- 3Building a Feature and Control Screen from Evidence
Change only the starting pose to find when the robot falls, then code a feature that starts a recovery move on a tilt.
- 4Testing the Integrated App and Explaining the Design
Connect a balance test screen for choosing the pose and motor force, then test recovery and the safety stop together.
What counts as useful evidence?
A robot balance test app, a screen tracking tilt and recovery time, and recovery code with test records.
What should an admissions reader be able to see?
The course is built on an open project published by Caltech. 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
- Caltech-AMBER/ambersim
- pinned commit
47a9c1848154 - commit date 2023-12-10
- licence MIT
- text files 40
The student lowers the force a simulated robot is allowed and watches how its way of balancing changes. 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 file describing the body and its joints, and the pose the practice starts from
- Memoryopened hereWhat persists?
The angle and angular velocity right now, and the policy numbers that shift a little with each round of practice
- ProcessWhat transforms?
Stepping the physics forward, scoring what happened, and adjusting the policy from that score
- OutputWhat leaves, and who uses it?
The score curve that rises and falls as practice goes on, and the saved policy file
- ControlWhat decides when anything runs?
What decides how many rounds of practice run, and when the result is measured
InputModel, start pose
ambersim/models/pendulum/pendulum.xmlambersim/models/pendulum/scene.xmlambersim/utils/io_utils.py
MemoryAngles and weights
ambersim/rl/base.pyambersim/learning/architectures.py
ProcessOne step, one score
ambersim/rl/pendulum/swingup.pyambersim/trajopt/shooting.pyambersim/trajopt/cost.py
OutputScore curve, policy
examples/rl/pendulum/ex_tensorboard.pyexamples/rl/pendulum/ex_save_and_load.py
ControlRounds and checks
ambersim/rl/helpers.pyexamples/rl/pendulum/ex_swingup.py
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.
- CaltechOpen project it is built on
Questions parents search before choosing this course
Is Caltech AMBER: Robot Balance Experiments a good fit for high school students in Grades 9-12?
Caltech AMBER: Robot Balance Experiments is a good fit for students in grades 9-12 who are interested in how robots keep their balance and motor force in robot joints. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make a robot balance test app, a screen tracking tilt and recovery time, and recovery code with test records.
Can my child take Caltech AMBER: Robot Balance Experiments 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 Caltech AMBER: Robot Balance Experiments?
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 Caltech AMBER: Robot Balance Experiments?
The main evidence is a robot balance test app, a screen tracking tilt and recovery time, and recovery code with test records. Students also document decisions, tests, feedback, and limits in age-appropriate language.
How can Caltech AMBER: Robot Balance Experiments show research understanding in a college application?
The course is built on an open project published by Caltech. 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 Caltech AMBER: Robot Balance Experiments 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.
I appreciated that a simple early idea was extended into an 'AI debate tool'. My child has always been interested in debate and social issues, so seeing that interest connect to the project makes me expect a more complete and distinctive result.
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Choose the course after a readiness check
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