College application research evidence · understanding and original contribution · Seoul and online
Project courseThe student keeps the work and the record they made.
AI + Robotics: Vision and Autonomy Research
Grades 9-12: YOLO versus marker detection, multi-frame...
- Free consultation and level check
- Apgujeong classroom or online
- One-to-one or small group
- Registered academy no. 11882
Is AI + Robotics: Vision and Autonomy Research a good fit for high school students in Grades 9-12?
AI + Robotics: Vision and Autonomy Research is a good fit for students in grades 9-12 who are interested in YOLO versus marker detection and multi-frame object tracking. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make an auditable robot system with a control screen, detection error tables and failure-injection logs, and a reproduction package and safety audit.
Students build a vision-guided robot mission and an operator console that shows detections, sensor freshness, route, command authority, and stop reason. An optional LLM may draft an allowlisted mission plan from a natural-language request, but the student must approve it and deterministic safety code retains control. The student sets their own question, then designs and tests a feature, model, interface, or solution of their own. In an application or interview, the student separates the material they drew on from their own decisions, results, failed attempts, revisions, and limits.
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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.
- Age group
- Grades 9-12
- Academic subject
- AI & Data, Engineering & Robotics, Research & PortfolioBrowse 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. Every source is public, and each lesson names the exact page it opens.
How can I explain this course to my child?
If questions about YOLO versus marker detection or multi-frame object tracking keep making you ask why, AI + Robotics: Vision and Autonomy Research lets you investigate the question with evidence, then build and defend an extension of your own.
Which interests suggest this course?
- YOLO versus marker detection
- multi-frame object tracking
- robot safety interlocks outside the AI
What does the student finish?An auditable robot system with a control screen, detection error tables and failure-injection logs, and a reproduction package and safety audit.
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?
- Analyze collision, pinch, overspeed, and zone-exit hazards by cause, control, and evidence, and specify interlocks that work without the AI.
- Measure precision, recall, and latency for YOLO and a marker baseline across lighting, distance, occlusion, and background.
- Link detections across frames by IoU and distance, and stop when tracking is uncertain or disagrees with the ToF sensor.
- Separate capture, inference, and control with queues, measure end-to-end latency, and verify that stale frames drive control to zero.
How does the course progress?
- 1A Reproducible Robot Platform
Build a version- and hash-pinned repository with a non-AI dry run, analyze hazards, and test that dropped links stop the robot.
- 2Vision Perception and Tracking
Profile latency at each camera-pipeline stage, compare YOLO and marker detection by condition, and track targets across frames.
- 3Distance Fusion, Control, and Safe Autonomy
Calibrate the ToF sensor against vision, verify localization, paths, and PID control starting in simulation, and test the watchdog.
- 4An Auditable Mission System
Limit what the control screen and optional LLM mission drafts can do, inject bypass requests and dropped links, and reproduce the run from the README.
What counts as useful evidence?
An auditable robot system with a control screen, detection error tables and failure-injection logs, and a reproduction package and safety audit.
What should an admissions reader be able to see?
The student sets their own question, then designs and tests a feature, model, interface, or solution of their own. In an application or interview, the student separates the material they drew on 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.
The evidence an application reads is what the student understood, completed, and can explain.
Which sources were reviewed?
Catalog reviewed: 2026-10-03
Questions parents search before choosing this course
Is AI + Robotics: Vision and Autonomy Research a good fit for high school students in Grades 9-12?
AI + Robotics: Vision and Autonomy Research is a good fit for students in grades 9-12 who are interested in YOLO versus marker detection and multi-frame object tracking. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make an auditable robot system with a control screen, detection error tables and failure-injection logs, and a reproduction package and safety audit.
Can my child take AI + Robotics: Vision and Autonomy Research 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 AI + Robotics: Vision and Autonomy Research?
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 AI + Robotics: Vision and Autonomy Research?
The main evidence is an auditable robot system with a control screen, detection error tables and failure-injection logs, and a reproduction package and safety audit. Students also document decisions, tests, feedback, and limits in age-appropriate language.
How can a student describe work from AI + Robotics: Vision and Autonomy Research in a college application?
The student sets their own question, then designs and tests a feature, model, interface, or solution of their own. In an application or interview, the student separates the material they drew on 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 AI + Robotics: Vision and Autonomy Research 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.
The teachers are always attentive and considerate, so we feel comfortable trusting them with our child.
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.