Enrolmy | Adelaide Robotics and Computer Science Academy - Booking Calendar for 06. Artificial Intelligence and Robotics (Wednesdays 5-6 pm, Term 2/2026)

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  Adelaide Robotics and Computer Science Academy

06. Artificial Intelligence and Robotics (Wednesdays 5-6 pm, Term 2/2026)

Lockleys, Lockleys

Wed, 29 Apr 2026 to Wed, 1 Jul 2026

5:00pm - 6:00pm

Age 10 to 18

About This Activity

Activity Details

Lockleys Sporting Facility | 30 Rutland Avenue, Lockleys, Lockleys

$270.00 for 9 sessions | 6 places remaining

Run by Adelaide Robotics and Computer Science Academy

Artificial Intelligence and Robotics (AIR)
 
The Artificial Intelligence and Robotics (AIR) program is the most advanced course offered by Adelaide Robotics and Computer Science Academy (ARCSA). It is designed for high school students who have completed foundational robotics and programming and are ready to engage with university-level concepts, tools, and ways of thinking.
 
AIR does not attempt to replace tertiary education.
Its purpose is to prepare students for it.
 
By the time AIR students encounter robotics and artificial intelligence at university, the tools, concepts, and expectations will already feel familiar.
  
A University-Level Program for High School Students
 
AIR introduces students to robotics and artificial intelligence as serious academic and engineering disciplines, taught carefully and progressively to motivated high school students.
 
The program uses professional tools, frameworks, and methodologies drawn directly from university curricula and industry practice. To our knowledge, no other program in Adelaide offers this level of depth to high school students in a structured, long-term curriculum. Likewise, teaching ROS 2 (Robot Operating System 2) to high school students in a sustained and formal way is unprecedented internationally.
 
This is not acceleration for its own sake.
It is preparation through understanding.
  
Program Structure: Two Complementary Pillars
 
AIR is built around two complementary pillars:
Robotics and Artificial Intelligence.
 
This structure allows students to repeatedly move between theory and application, abstraction and embodiment, deepening their understanding each time.
  
The Robotics Pillar: Advanced Robotics with ROS 2
 
The robotics pillar introduces students to modern robotics using ROS 2, the industry-standard framework used worldwide in robotics research and development.
 
Students study robotics as a software-driven systems discipline, focusing on how autonomous machines are programmed, controlled, and coordinated.
 
Key areas include:
  • Linux for robotics
  • Python and C++ for robotics
  • Modern C++ concepts
  • ROS 2 fundamentals
  • Robot navigation and localisation
  • Behaviour Trees
  • Robot perception and sensor fusion
  • Robot modelling and control
  • Kinematics, dynamics, and path planning
  • Robotics simulation using professional tools
 
Robotics learning is supported by ARCSA’s BotBox Robotics Lab, a professional robotics environment where students apply their software knowledge to AI-enabled autonomous robots equipped with sensors such as LIDAR and cameras, as well as manipulation systems including a robotic arm and conveyor belt.
 
The emphasis is on understanding systems, testing behaviour, debugging, and improvement — not on assembling hardware.
  
The Embodied Artificial Intelligence Pillar
 
AIR treats artificial intelligence not as a black box, but as something that can be understood, implemented, and questioned. Rather than relying solely on prebuilt tools, students learn how to build AI systems from the ground up.
 
Artificial intelligence becomes far more powerful when it is connected to the physical world. In this course, students explore embodied AI, where intelligent algorithms interact with sensors, cameras, motors, and robotic systems.
 
This approach helps students understand how perception, reasoning, and action work together in real-world machines:
 
  • On-device AI for Robotics (Learn to build, optimise, and deploy AI models directly on edge devices like the Raspberry Pi.)
  • PyTorch Essentials for Robotics (Learn foundational PyTorch tools for AI development through hands-on robotics examples)
  • VLAs with ALOHA for robotics (Start using VLA with ALOHA as a particular implementation of it)
  • Machine Learning for Robotics (LiDAR Navigation, Feature Engineering & Clustering, Data Augmentation, Regression & Neural Networks, Object Detection)
  • Mastering Reinforcement Learning for Robotics (This course introduces reinforcement learning for robotics, covering core concepts, Q-Learning, and Deep Q-Learning)
  • Deep Learning with Domain Randomisation (Learn how to train any robot to recognise an object and pinpoint its 3D location with only an RGB camera and training with Keras)
  • Using OpenAI with ROS (Use the power of OpenAI combined with ROS simulations, the easiest way)
  • AI Agents (Learn the fundamentals of AI Agents by programming real and simulated robots to perceive, decide, and act in dynamic environments.)
  • Using NVIDIA Jetson Nano with ROS (Learn Deep Learning using NVIDIA Jetson Nano with IgnisBot)
  • Generative AI for Robotics (Learn all you need to go from knowing nothing about the technology behind ChatGPT to using it in a robot for moving, perception, and human command understanding)
  
Certificates and International Partnership
 
As part of the robotics pillar, AIR students work within the learning ecosystem of The Construct Robotics Institute, an internationally recognised robotics education organisation based in Barcelona.
 
Where appropriate, students may earn official certificates for selected ROS 2 modules. These certificates are awarded upon successful completion of assessments and reflect genuine engagement with professional-level robotics content. Certificates are not automatic and are not the primary goal of the program, but they may complement a student’s academic portfolio.
  
A Program That Evolves Over Time
 
AIR is designed as a long-term, evolving program.
 
Robotics and artificial intelligence alternate across terms, allowing students to return to each domain with stronger foundations and greater maturity. As technology evolves, new hardware platforms and AI projects may be introduced, while core principles remain constant.
 
The aim is not to chase trends, but to build lasting understanding.
  
Entry Requirements
 
AIR is an advanced program.
 
Students may enrol by:
  • Completing the Robotics Course at ARCSA or
  • Passing an entry assessment designed to demonstrate a solid understanding of Python
 
This ensures that all students are prepared for the depth and pace of the course.
  
An Educational Philosophy
 
AIR is guided by ARCSA’s educational principle:
 
Sapere Aude, which means Dare to know.
 
Students are encouraged to engage with difficult ideas, think independently, and develop intellectual confidence. AIR is demanding by design, because genuine understanding always is.


Lockleys Sporting Facility | 30 Rutland Avenue, Lockleys, Lockleys

Upstairs

Activity Details

Activity Highlights

  • Artificial Intelligence
  • Robotics
  • Problem Solving

What to bring

  • Laptop and charger. Alternatively you can hire a laptop from us.
  • Water bottle (optional).
  • No food or soft drink cans.
Session Dates & Times

This activity runs on these dates and times:

April 2026 to May 2026

  • Wednesday, 29 April 2026 (5:00pm to 6:00pm)
  • Wednesday, 6 May 2026 (5:00pm to 6:00pm)
  • Wednesday, 13 May 2026 (5:00pm to 6:00pm)
  • Wednesday, 20 May 2026 (5:00pm to 6:00pm)

May 2026 to July 2026

  • Wednesday, 27 May 2026 (5:00pm to 6:00pm)
  • Wednesday, 10 June 2026 (5:00pm to 6:00pm)
  • Wednesday, 17 June 2026 (5:00pm to 6:00pm)
  • Wednesday, 24 June 2026 (5:00pm to 6:00pm)
  • Wednesday, 1 July 2026 (5:00pm to 6:00pm)
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Discounts Are Available!

  • 10% OFF with the Multiple Bookings (Family) Discount.
    Applies to second child and onward once family has TWO or more bookings in ANY activity (including this one). ...AND those bookings are for activities that are running currently or in the future.

Important Information

Students may enrol by:

Completing the Robotics Course at ARCSA or passing an entry assessment designed to demonstrate a solid understanding of Python

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