01
Humanoid Robot Motion Control
Develop the mechanics, control and engineering understanding needed to model, stabilise and command humanoid movement.
Modular AI and robotics learning
Teaching products organised from foundations to advanced embodied-intelligence practice.
This modular architecture is independently written from the subject categories and example courses shown in Shenlan Academy’s current course catalogue. CIRC can use the framework to shape school, university, professional-learning and laboratory programmes; it does not reproduce the original course materials or claim ownership of Shenlan Academy’s courses.
Foundation to advanced
Theory and practice
Modular delivery
Portfolio evidence
Module 01 / Embodied Intelligence and Robotics
Embodied Intelligence and Humanoid Robotics
A progressive product family covering humanoid motion, manipulation, grasping, perception–decision–control integration and vision–language–action systems.
02
Robot Grasping and Manipulation
Compare classical planning and perception pipelines with end-to-end methods through structured manipulation projects.
03
VLA Manipulation Studio
Explore supervised fine-tuning, deployment and strategy improvement for vision–language–action systems in a controlled laboratory context.
Module 02 / Quadruped Robotics
Quadruped Robotics: Dynamics to Reinforcement Learning
A specialist pathway linking physical modelling, control, simulation, reinforcement learning and careful real-platform validation.
01
Dynamics and locomotion
Build understanding of forces, contact, gait, stability and the physical assumptions underlying quadruped motion.
02
Simulation and learning
Create repeatable simulation experiments, define reward and observation structures and compare learning behaviour.
03
Safe transfer and testing
Move from simulation to supervised physical trials while documenting parameter sensitivity, failure and safety controls.
Module 03 / Large Models and Agents
Large Language Models, RAG and Agent Engineering
A software product line moving from model foundations to retrieval systems, tool-using agents and modern AI-assisted development workflows.
01
Large Language Model Foundations
Study attention and Transformer architecture through theory, implementation exercises and a small-model development pathway.
02
Industrial RAG and Agent Applications
Design retrieval, grounding, evaluation and tool-use workflows for chat, knowledge and task-oriented applications.
03
Vibe Coding to Engineering Harness
Progress from prompting and AI-assisted coding towards specification-driven development, testing and reproducible software workflows.
Module 04 / Autonomous Driving and Vision
Computer Vision, BEV Perception and Autonomous Systems
A perception-focused product line combining computer vision, multi-sensor reasoning and the engineering context of autonomous systems.
01
Computer Vision Foundations
Develop image-processing, representation, detection, segmentation and evaluation knowledge through practical experiments.
02
BEV Perception
Examine bird’s-eye-view perception concepts, representative algorithm families, data flows and implementation choices.
03
Autonomous-System Integration
Connect perception outputs to localisation, planning, simulation and safety-aware system evaluation.
Module 05 / Artificial Intelligence Foundations
AI Foundations and Core Learning Disciplines
A foundation-to-advanced pathway across artificial intelligence, machine learning, natural language processing, intelligent speech and model deployment.
01
Machine Learning
Data preparation, supervised and unsupervised approaches, experimental design, metrics, generalisation and responsible interpretation.
02
NLP and Intelligent Speech
Language and speech representation, sequence models, recognition, generation, evaluation and human-centred application.
03
Model Compression and Deployment
Efficiency, quantisation, distillation, runtime constraints, hardware awareness and validation after deployment.
Module 06 / Mathematics and Engineering
Robotics Software, SLAM, Drones and Engineering Foundations
Supporting products that give learners the mathematical, programming and systems knowledge required for dependable AI and robotics work.
01
C++ and Engineering Programming
Move from syntax to memory, abstraction, debugging and software design practices used in robotics and high-performance AI systems.
02
SLAM and Spatial Intelligence
Study sensing, mapping, localisation, estimation, optimisation and evaluation through simulation and robotics exercises.
03
Drones, Computational Imaging and Mathematics
Develop supporting knowledge in flight systems, imaging pipelines, geometry, linear algebra, probability and optimisation.
Delivery architecture
Teaching products can be assembled for different audiences
Foundation
Concept and guided practice
Structured lessons, notebooks or simulation introduce the underlying ideas and establish common technical language.
Progression
Applied laboratory projects
Learners integrate code, data and hardware through bounded tasks with milestones and repeatable tests.
Advanced
Research and deployment studio
Teams investigate a specialised system, evaluate limitations and produce a technical portfolio or demonstrator.
Capability
Teacher and facilitator support
Planning, equipment setup, teaching guidance, assessment and troubleshooting resources enable sustainable delivery.
Build the next programme
Ready to turn AI and robotics into purposeful student work?
We can shape a class project, school pilot, international team or multi-school pathway around your learners.