First understand what Caltech researchers are trying to learn through AMBER Lab, why the question matters, how they test it, and what the result cannot prove. Change a simulated robot's motor strength and starting pose, then use motion graphs to see when it loses balance. The student then completes A simulated-robot balance app that detects fall conditions and demonstrates recovery or a safe stop. For a college application or interview, the student separates the source research from their feature, interface, tests, failures, and revisions. Available online or in person in Apgujeong, in one-to-one or small-group formats.
University and lab names show where each public project came from. CIT independently designed these courses; they are not official university courses, partnerships, or endorsements.
8guided sessions
6-12 hoursto the first small project
Intermediaterecommended level
Not requiredphysical robot
Primary routes
Choose the student's primary AI education and portfolio route
CIT keeps the international-school route first, followed by the separate science and gifted-school route.
CIT lessons can run online across Korea and overseas or in person in Apgujeong. The student owns the question, code, tests and explanation; classes do not guarantee admission, selection or awards, and online delivery never changes an institution's submission rules.
How do a robot's balance and motion change when the strength of its motors changes?
Inspect a simulated robot's joints and motion, then change motor strength and starting pose to find when it loses balance.
Students first use a small working example to understand the researchers' question, method, and evidence. A controlled change helps identify what the student's extension must solve. The student then implements a useful feature, connects an operator interface, and tests the integrated application in normal, boundary, and failure cases.
What will the student complete?
A simulated-robot balance app that detects fall conditions and demonstrates recovery or a safe stop
The final package includes runnable instructions, the feature and interface design, normal and failure tests, one documented revision, and a three-minute explanation in the student's own words.
Feature
A feature that starts a planned recovery motion when the robot tilts and stops safely if balance does not return
Operator interface
A balance-test screen for choosing starting posture and motor force and viewing joint motion, tilt, and recovery time
Integrated result
A simulated-robot balance app that detects fall conditions and demonstrates recovery or a safe stop
Four ideas explained in this course
01robot bodies and joints
02paths followed by joints
03settings that control motor strength
04whether the robot keeps its balance
Eight introductory sessions
Understand the research, then build and test a working robotics application
The 20 courses are eight-session CIT studios in which students understand a public university or lab project, confirm a working example, and then turn it into a small robotics application with a useful feature and an operator interface. Selected courses add an optional LLM explanation tool that can read run records but cannot control the robot. RoboMaster has 28 sessions, and implementation scope is adjusted to each student's experience and computer access.
Understand the source
01
Run the robot example and check its software version
02
Inspect the robot body and joints
Measure and compare
03
Set the path for each joint
04
Change the setting that controls motor strength
Build a feature
05
Change only the starting pose
06
Implement the student-owned feature: A feature that starts a planned recovery motion when the robot tilts and stops safely if balance does not return
Integrate and demonstrate
07
Build the operator interface: A balance-test screen for choosing starting posture and motor force and viewing joint motion, tilt, and recovery time
08
Integrate, test, and demonstrate: A simulated-robot balance app that detects fall conditions and demonstrates recovery or a safe stop
Public project used in class
See the exact version CIT reviewed
Public projects can change over time. To keep the class example consistent, CIT uses version 47a9c1848154 of Caltech-AMBER/ambersim. CIT checked it on 2026-08-14; it was created on 2023-12-10. Usage-rights note: MIT.
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
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.
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.
Clear answers about what students do, what they need, and where the project came from.
Is Caltech AMBER: Robot Balance Experiments an official course from Caltech AMBER Lab?
University and lab names show where each public project came from. CIT independently designed these courses; they are not official university courses, partnerships, or endorsements.
Is hardware required?
Not required. The course starts with a robot on the computer or a saved recording of a completed run. Computer guidance: Standard 3D simulation environment.
What background should a student have?
Recommended level: Intermediate. Students should be able to follow a guided Python example, test one controlled change, and then build and explain a small feature and interface.
What will the student make?
The completed project is A simulated-robot balance app that detects fall conditions and demonstrates recovery or a safe stop. The student implements A feature that starts a planned recovery motion when the robot tilts and stops safely if balance does not return and A balance-test screen for choosing starting posture and motor force and viewing joint motion, tilt, and recovery time.
How can the student use this project in a college application?
Explain the source research question, method, evidence, and limits first. Then separate the student's own feature and interface decisions, normal and failure tests, revisions, and next question. The source institution's name does not imply affiliation or guarantee admission.
Which project version does the course use?
CIT reviewed version 47a9c1848154 of Caltech-AMBER/ambersim on 2026-08-14. That version was created on 2023-12-10. We keep this version during class so the example does not change unexpectedly, and we check the setup again before teaching.
Can Caltech AMBER: Robot Balance Experiments be taken online or in person, one-to-one or in a small group?
Yes. This course is offered online and in person at CIT in Apgujeong, Gangnam-gu, Seoul, with one-to-one and small-group options. Placement and current availability are confirmed after a readiness consultation.
Is this a good first project for this student?
Before placement, we check the student's coding and math experience, available computer, interests, and ability to explain what happened.
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