A long-term research pathway for students in Grades 8–12—combining a personalized roadmap, authentic projects, and verifiable outcomes.
Rather than selling isolated class hours, the Lab connects assessment, technical training, project execution, and research communication around each student’s interests, preparation, schedule, and goals.
A staged plan aligned with the student’s grade level, coding and mathematics foundation, interests, and long-term goals.
A distinctive AI or robotics project developed through data collection, experiment design, implementation, analysis, and iteration.
A verifiable record of growth through websites, GitHub repositories, technical reports, posters, videos, or submission materials.
These are not stock topics. Each direction is connected to a completed experiment, reproducible artifact, public evidence review, or an explicitly labeled active-development program.
45 fixed runs · 78.7% mean reconstruction completeness · 0.717 actionable mIoU
Multi-view 3D observations are fused into an uncertainty-aware operational map. The page includes the extended abstract, executed notebook, CSV results, protocol, and validation files.
0.84 m displacement recovered within 15 mm; removal flagged with no false positives at the registered gate
A fixed-seed CARLA patrol compares baseline and repeat scans to identify displaced or missing traffic-control devices—and reports the topple case that the centroid-only method missed.
A source-linked pathway from work-zone risk evidence to candidate inspection-robot tasks
The research separates recorded safety evidence from engineering inference, then maps candidate robot tasks to sensing, autonomy, and validation requirements.
Current prototype: real-time camera → YOLO → multi-client web pipeline; Active SLAM loop is the next validation gate
The active program adds mobile camera/IMU capture, visual odometry, uncertainty estimation, next-best-view guidance, and active loop closure. It is presented as ongoing work—not completed SLAM performance.
Understand preparation, research interests, available time, and goals.
Define a six-month to three-year plan with staged deliverables.
Learn the programming, data, AI, vision, or robotics foundations required by the project.
Collect data, design experiments, build models, analyze results, and iterate.
Turn the work into a portfolio, report, poster, presentation, video, or manuscript.
Use progress reports and reflection to plan the next stage of development.
A concrete example of how the Lab works: begin with public evidence, distinguish facts from inference, define candidate robotics tasks, and state the next validation gate.
Our principle: We support authentic research and rigorous communication. The Lab provides professional mentoring and agreed deliverables, but does not guarantee publication, awards, or admission to any institution.
Begin with an assessment. We will review the student’s preparation, interests, and available time and recommend a practical next step.