College application research evidence · understanding and original contribution · Seoul and online
Project courseThe student keeps the work and the record they made.
Carnegie Mellon SPARK: Human-Shaped Robot Safety
Grades 9-12: humanoid robot safety, safe distances...
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.
- Carnegie Mellon UniversityOpen 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 Carnegie Mellon SPARK: Human-Shaped Robot Safety a good fit for high school students in Grades 9-12?
Carnegie Mellon SPARK: Human-Shaped Robot Safety is a good fit for students in grades 9-12 who are interested in humanoid robot safety and safe distances around people and obstacles. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make a humanoid safety monitoring tool, safe-distance comparison tables and graphs, and intervention-logging code with test sheets.
The course is built on an open project published by Carnegie Mellon. Students run a virtual human-shaped robot (humanoid) in the SPARK example and check its posture and task. They set safe distances from collision risks, compare basic motion commands with motion that has the safety feature on, and change only the safe-distance threshold to see how task success and safety trade off. They then implement a feature that slows down or stops when the distance shrinks and logs each safety intervention, and connect it to a supervision screen that uses color and text to show why the robot stopped. 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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My child found the AI classes interesting and stayed with them. It made for a worthwhile school break. Thank you for teaching so attentively.
- 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 Carnegie Mellon University. Names identify the source, not affiliation or endorsement.
- Carnegie Mellon UniversityOpen project it is built on
How can I explain this course to my child?
If questions about humanoid robot safety or safe distances around people and obstacles keep making you ask why, Carnegie Mellon SPARK: Human-Shaped Robot Safety lets you investigate the question with evidence, then build and defend an extension of your own.
Which interests suggest this course?
- humanoid robot safety
- safe distances around people and obstacles
- balancing task success and safety
What does the student finish?A humanoid safety monitoring tool, safe-distance comparison tables and graphs, and intervention-logging code with test sheets.
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?
- Compare a humanoid's basic motion commands with a safety feature that steps in when motion becomes risky.
- Record how task success and safety change together as the distance threshold for people and obstacles changes.
- Build and test a feature that slows down or stops as distance shrinks and logs when it intervened.
- Demonstrate the safety monitoring tool while separating what the open example provided from the student's own work.
- Carnegie Mellon UniversityOpen project it is built on
How does the course progress?
- 1Understanding the Research Question and Baseline Behavior
Run the prepared virtual humanoid and check its posture and the task it has to do.
- 2Connecting Sensors, Actions, and Measurements
Set safe distances for collision risk and compare basic motion with motion that has the safety feature on.
- 3Building a Feature and Control Screen from Evidence
Use results from changing only the distance threshold to build a feature that slows or stops the robot.
- 4Testing the Integrated App and Explaining the Design
Connect a supervision screen for distance, progress, and stop reasons, and test normal, boundary, and failure cases.
What counts as useful evidence?
A humanoid safety monitoring tool, safe-distance comparison tables and graphs, and intervention-logging code with test sheets.
What should an admissions reader be able to see?
The course is built on an open project published by Carnegie Mellon. 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
- intelligent-control-lab/spark
- pinned commit
2823c9ef3a35 - commit date 2026-06-02
- licence MIT
- text files 215
The student tests a safety layer for robots working near people, in simulation only, and explains the trade-off between speed and clearance with numbers. 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?
Current joint values, the positions of nearby people or obstacles, and the command the robot was going to run
- MemoryWhat persists?
The configuration that says which shapes stand in for the robot's body, and the safety index that keeps how dangerous the moment is as one number
- Processopened hereWhat transforms?
The computation that replaces a command breaching the safety condition with the nearest safe one
- OutputWhat leaves, and who uses it?
The final command sent to the robot or the simulator, and the record of whether it was changed
- ControlWhat decides when anything runs?
The pipeline that calls task, policy, safety layer and robot in a fixed order every cycle
InputJoints and people
module/spark_agent/spark_agent/base/base_agent.pymodule/spark_task/spark_task/base/base_task.py
MemoryThe safety index
module/spark_robot/spark_robot/base/base_robot_config.pymodule/spark_policy/spark_policy/safe/safe_algo/value_based/base/base_safety_index.py
ProcessThe safe command
module/spark_policy/spark_policy/safe/safe_algo/value_based/ssa/basic_safe_set_algorithm.pymodule/spark_policy/spark_policy/safe/safe_algo/value_based/cbf/basic_control_barrier_function.py
OutputThe final command
module/spark_agent/spark_agent/simulation/mujoco/mujoco_agent.pypipeline/spark_pipeline/autonomy/evaluation.py
ControlThe fixed cycle
pipeline/spark_pipeline/base/base_pipeline.pypipeline/spark_pipeline/autonomy/benchmark_pipeline.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.
- Carnegie Mellon UniversityOpen project it is built on
Questions parents search before choosing this course
Is Carnegie Mellon SPARK: Human-Shaped Robot Safety a good fit for high school students in Grades 9-12?
Carnegie Mellon SPARK: Human-Shaped Robot Safety is a good fit for students in grades 9-12 who are interested in humanoid robot safety and safe distances around people and obstacles. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make a humanoid safety monitoring tool, safe-distance comparison tables and graphs, and intervention-logging code with test sheets.
Can my child take Carnegie Mellon SPARK: Human-Shaped Robot Safety 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 Carnegie Mellon SPARK: Human-Shaped Robot Safety?
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 Carnegie Mellon SPARK: Human-Shaped Robot Safety?
The main evidence is a humanoid safety monitoring tool, safe-distance comparison tables and graphs, and intervention-logging code with test sheets. Students also document decisions, tests, feedback, and limits in age-appropriate language.
How can Carnegie Mellon SPARK: Human-Shaped Robot Safety show research understanding in a college application?
The course is built on an open project published by Carnegie Mellon. 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 Carnegie Mellon SPARK: Human-Shaped Robot Safety 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.
Where else parents check CIT
Choose the course after a readiness check
CIT can compare this course with nearby options by age, subject, and current preparation.