PHYSICAL AI ROBOT · DEVELOPMENT PREVIEW
A New Mind for AI Education
Meet EliteMind, the modular Physical AI robot designed for
hands-on AI education. Explore how intelligent systems perceive, decide, and act through real-world experimentation.
MEET ELITEMIND
EliteMind is a Physical AI robot for AI education, designed to help students move from understanding artificial intelligence to building and applying it in the physical world. Through sensors, AI models, coding, robotics, and physical control, students explore how intelligent systems perceive, reason, and act in real-world environments.
The preview includes a vision-language module, time-of-flight module, light sensor module, and fingerprint module for exploring different types of input.
Robotic arm and motor expansion interfaces are part of the proposed ecosystem, supporting physical control and experimentation.
DIY expansion structures, standardized expansion ports, and multi-form structural exploration open up different build possibilities. Additional modules are in development.
ONE CONNECTED LEARNING ECOSYSTEM
EliteMind brings the Physical AI story into focus within the broader WhalesBot learning ecosystem.
The Physical AI robot where students build, program, train, and apply AI in the physical world.
The intelligence behind the experience, supporting perception, reasoning, interaction, and AI-powered creation.
The learning system that turns AI capabilities into structured curriculum, projects, and real-world learning experiences.
AI FOUNDATIONS LEARNING EXPERIENCE
Through AI Foundations Learning, students develop understanding, building, and real-world application together — progressing from early AI awareness to coding, model training, and complete intelligent systems.
AI concepts, and perception
Code, train, and integrate
Real-wolrd AI systems
→ AI awareness
→ basic sensing
→ graphical programming
→ simple interaction
→ creative building
→ robot creation
→ guided exploration
→ small challenges
→ creative tasks
→ AI applications
→ data & robotics
→ model training
→ coding practice
→ integrated building
→ creative development
→ guided projects
→ project implementation
→ innovation tasks
→ Python foundations
→ AI + Python
→ advanced AI concepts
→ advanced coding
→ system integration
→ intelligent systems
→ real-world projects
→ practical innovation
→ comprehensive innovation
WHO EliteMind is For
EliteMind’s development preview identifies four learning environments for its modular Physical AI approach.
Bring Physical AI, robotics, coding, and AI learning into structured classroom programs.
Expand hands-on programs with AI models, sensors, robotics, and real-world projects.
Support introductory Physical AI, intelligent systems, robotics, and applied AI learning.
Deliver structured AI learning programs with integrated hardware, software, and curriculum.
BRING PHYSICAL AI INTO LEARNING
Discuss your learning space, student stages, and project goals with our education team. EliteMind is under development; further updates will be shared with selected partners.
