Embodied Intelligence, Taught the Right Way

From Visual Programming to Real Robot Decision-Making

Discovery 8/16 lessons

For beginners. Build robot intuition through hands-on play.

What You Will Learn

Understand: Robot = Perception + Brain + Limbs

Hands-on: Safety protocols, mode switching, remote/App basic control

Expression: Sense → Think → Move. Simple “If…else…” rules.

Example: Face detected → Wave → Greet.

For students starting to code. Blocks first, then Python.

What You Will Learn

Learn: Perception / Decision / Action as separate modules.

Skill: Visual & Python bi-directional conversion

Practice: Complete reusable task flows

Project Example: Build reusable workflows (patrol, avoid, return).

For Python learners ready for real robotics.

What You Will Learn

System: ROS2 node communication with Topic / Service / Parameter

Algorithm: ROS 2 basics + classic vision pipelines (YOLO, PnP).

Closed Loop: Run through and verify "perception-plan-execute"

Project Example: Run the full Perception → Plan → Act loop on a real robot.

For advanced students aiming at research outcomes.

What You Will Learn

Optimize: Train and improve modules (RL gait, detection, coordination).

Frontier: Sim2Real, digital twin, multi-agent reinforcement learning

Output: Reproducible results (papers / patents / competition awards)

Project Example: Sim-to-Real + digital twins + multi-agent RL.

Drag-and-drop to control real robot behaviors

See results instantly—learn by doing, not theory first

Advance to interactive tasks

Train in simulation environment for robot behavior

Supports decision-making, motion planning, and control development

Results can be transferred to real humanoid robots for validation

Everything needed to run class: plans, slides, student pack, assessments.

Training + ongoing support + lab planning/buildout (robotics “computer lab”).

From unboxing to first class—standard checklist and rollout playbook.

Student safety first: zoning, access control, pre-run checks, emergency stop.