Duration
4 Days
AI Robotics / Future Manufacturing Camp
A project-based camp for young makers that connects AI, robotics, intelligent agents and 3D printing into one complete creation journey.
Program Snapshot
Key decision details are placed up front for families, schools and partners.
Duration
4 Days
Age Group
Open age group
Language
English-first, with bilingual Chinese/English support available.
Format
Project-Based Camp
Group Size
Small-group learning format
Final Outcome
AI prototype + robot task + 3D printed object
Required Device
Laptop recommended for project work
Certificate
Students receive an INNOBOTIX Certificate of Completion for participation and final project presentation. High-performing students may be considered for a recommendation letter.
Location
Australia-based program options
Next Intake
Enquire for upcoming dates
Learning Path
The core of the camp is not isolated AI tool use. It is a complete pathway from idea to working prototype and tangible outcome.
Step 1
Explore LLMs, prompting, AI workflows and the boundaries of real-world AI applications.
Step 2
Connect sensors, mechanical structures and control logic to complete robotics tasks.
Step 3
Create an AI assistant through voice interaction, dialogue logic and command control.
Step 4
Use modelling, structural iteration and 3D printing to produce a tangible prototype.
Detailed Daily Schedule
This section is written for parents, schools and partners who want a clear view of the day-by-day learning experience.
Morning
LLMs, prompting, generative AI, automation workflows and real-world applications across education, healthcare, marine and creative industries.
Afternoon
From need to prototype: choose a problem, define a user scenario, break down key functions and shape a team project concept.
Key Topics
Hands-on Activity
Teams create an AI project concept and an early prototype sketch.
Student Outcome
AI project brief: problem, user, scenario and functional direction.
Morning
Robot system breakdown: mechanical structures, sensors, control logic, inputs, outputs and task planning.
Afternoon
Robot mission challenge: debugging, collaboration, iteration and demonstration through an observable task.
Key Topics
Hands-on Activity
Teams complete a robot mission challenge and document the debugging process.
Student Outcome
Robotics challenge result: a demonstrable mission outcome.
Morning
AI hardware, model integration, voice interaction, dialogue systems, command control and sensor-linked workflows.
Afternoon
Assembly, debugging, model connection and voice or command control for an AI assistant prototype.
Key Topics
Hands-on Activity
Build an AI assistant prototype that can respond to or execute commands.
Student Outcome
Interactive AI assistant demo: responsive, demonstrable and ready to explain.
Morning
3D printing principles, materials, structures, modelling constraints, printability and safe operation.
Afternoon
Modelling, structural iteration, print preparation, physical showcase and final project communication.
Key Topics
Hands-on Activity
Refine and print a project-related physical part or concept module.
Student Outcome
3D printed prototype + final presentation.
What Students Will Build
A clearly defined AI project idea with a problem, user scenario and functional direction.
A demonstrable robot mission outcome with hands-on debugging experience.
An agent prototype that can respond to users or execute simple commands.
A physical object shaped through modelling, iteration and print preparation.
A concise project presentation for peers, parents or education partners.
Skills Developed
LLM
Prompting
AI workflow
AI application boundaries
Mechanical systems
Sensors
Control logic
Debugging
Problem definition
Prototype design
User scenarios
Presentation
3D modelling
Printability
Iteration
Physical output
Parent Value
Students do not only learn tools. They practise a creation pathway from idea to output.
Students do not only listen. They keep building, testing and presenting across four days.
The experience does not stay on a screen. It includes robot missions and a physical printed outcome.
The focus is capability, project communication and realistic exposure to future technologies.
Example Student Project Ideas
These are prompts, not fixed templates. The final project can be adjusted according to student interests, readiness and available equipment.
AI learning assistant
Voice-controlled helper
Environment-aware robot
Campus guide AI agent
Social-impact problem solver
3D printed future city module
FAQ
Yes. Current age guidance is: Open age group. The program begins with concepts, tools and guided tasks, so students do not need complete prior experience in coding or robotics.
The four-day format is designed around a realistic project pathway: AI concept, robotics challenge, AI assistant prototype and 3D printed physical output. Final complexity will depend on student readiness and equipment conditions.
A laptop is recommended for project design and prototype work. Any required software, accounts or device details will be shared before the program.
English-first, with bilingual Chinese/English support available.
Students receive an INNOBOTIX Certificate of Completion for participation and final project presentation. High-performing students may be considered for a recommendation letter. This is an INNOBOTICS completion certificate and is not presented as a university credential or academic admission outcome.
Robotics, electronics and 3D printing activities are designed as supervised, small-group, guided learning experiences, with procedures matched to the venue and equipment used.
Yes. The program can serve as a base for STEM enrichment, holiday camps, international study tours or school workshops, with content adjusted by duration, age and learning goals.
Families can request the program outline through the contact page. We can share the most relevant details for the student, group or school enquiry.
Ready to explore the program?
Contact INNOBOTICS to discuss upcoming dates, group options, venue arrangements and the most suitable pathway for your student or organisation.