Revolutionize Robotics: Cutting-Edge Robotics Interships

Ancla 1

Our Course and platform is structured around three main topics:

1. Hardware and Mechanical Architecture – Focused on robotics hardware and prototyping, with three courses covering essential components and mechanical design.

2. Software for Robotics and AI Implementation – Learn to develop robotics software using both no-code and coding platforms, making AI integration accessible at any skill level.

3. Human-Computer Interaction and Psychology for Service Machines** – Explore how psychology and interaction design shape user experiences with service robots and other interactive machines.

Robotics & Educational programs

Hardware, Mechanical Architecture for robotics and prototyping

Our program consists of 3 fundamental courses focused on hardware and rapid prototyping technologies. Here's a detailed breakdown:

Core Focus Areas:

Metal & CNC Prototyping

Computer-Aided Design using Autodesk Fusion 360
Autodesk Inventor for robotics architecture
CNC machining fundamentals

Electronics & Control Systems

Microcontroller platforms (Arduino, Raspberry Pi)
Motors and actuators
Electronic components
Theory of actuators and servomotors
Off-the-shelf parts and components

Practical Assembly & Biomechanics

Assembly of stainless steel robot components
Integration of actuators and video cameras
3D printing of custom-designed parts
Biomechanics fundamentals

Hands-On Project: Students will receive the Yo-ree robot in parts for assembly, creating a functional robotic prototype. This project integrates all learned concepts including:

Mechanical assembly
Electronic integration
Functional testing

Program Outcomes: Upon completion, students will gain expertise in:

CAD design fundamentals
3D printing technology
Plastics thermoforming
CNC machinery operation
Basic robotics assembly
Manufacturing processes

Certification: Students will receive an Autodesk Education certificate in Computer Aided Design in Biomechanics after completing all three courses.

Additional Support: Personalized tutorial sessions are available for students seeking deeper knowledge in specific topics. These supplementary courses can be tailored to individual learning needs and interests.

Career Applications: The skills acquired are valuable across multiple industries, including:

Robotics
Manufacturing
Product development
Industrial automation

Software Development Program

A. No-Code Programming (Program 1-2)

Hardware Integration

Actuator setup and configuration
Hardware interface programming
Visual control systems for machines

Advanced Control Systems

Remote control implementation
Telepresence systems
IoT device management
Brain-computer interface and wave control systems
AI-assisted learning tools for robotics education

B. Traditional Programming (Program 3-4)

Core Programming Languages

Python fundamentals
C++ fundamentals
AI-assisted coding techniques
Optional certification through Open EDG in Python or C++

Advanced Programming Topics

Robotics Control Systems:

Natural Language Processing (NLP)
- Language modeling
- Speech transcription
- Voice command systems
- Robot behavior programming through language processing

Computer Vision:

Fundamentals of machine vision
Biological vision systems study
Control system integration with Python
Vision-based sensing and perception
Practical applications in robotics

Navigation & Localization:

Odometry fundamentals
Machine navigation systems
Location tracking and mapping
Sensor fusion and integration

Learning Approach: The program emphasizes practical application while building from basic concepts to advanced implementations. Students will learn to:

Develop integrated solutions combining hardware and software
Implement AI-assisted learning strategies
Create vision-based control systems
Design navigation solutions for autonomous systems

Progression Path:

Start with no-code solutions to understand core concepts
Advance to traditional programming with Python/C++
Integrate advanced topics (NLP, Computer Vision, Navigation)
Apply knowledge in practical robotics projects

This structured approach allows students to gradually build expertise while maintaining a clear connection between theory and practical application.

Human Computer Interaction platforms and Psicollogy for service machines.

1. Understanding Human Nature
- The interplay between rational and emotional decision-making
- Emotional intelligence and its role in human behavior
- Cognitive biases and their impact on human-machine interaction
- The role of emotions in learning and memory

2. Human-Centered Design
- Principles of human-centered machine design
- Understanding user needs and expectations
- Emotional design principles
- Creating intuitive interfaces and interactions
- Balancing functionality with emotional appeal

3. The Uncanny Valley Phenomenon
- Understanding the uncanny valley concept
- Psychological factors behind human discomfort with near-human machines
- Cultural and evolutionary perspectives
- Design strategies to address uncanny valley effects
- Case studies of successful and unsuccessful humanoid designs

4. Positive Machine Interaction Design
- Creating positive emotional feedback loops
- Designing for trust and comfort
- Building rapport between humans and machines
- Non-verbal communication in human-machine interaction
- Using appropriate social cues and signals

5. Emotional Response Engineering
- Techniques for generating positive emotional responses
- Understanding and managing user expectations
- Design patterns that promote positive engagement
- Avoiding negative emotional triggers
- Building emotional resilience in human-machine systems

6. Practical Applications
- Implementing emotionally intelligent responses in machines
- Creating adaptive interaction systems
- Designing feedback mechanisms that promote trust
- Developing culturally sensitive interaction models
- Testing and measuring emotional responses

Learning Outcomes:
Students will understand:
- The fundamental role of emotions in human decision-making
- How to design machines that complement human psychological needs
- Ways to avoid triggering negative emotional responses
- Methods for creating positive human-machine relationships
- Techniques for measuring and improving emotional interactions

Design Principles Focus:
- Transparency in machine behavior
- Predictability in responses
- Appropriate levels of anthropomorphization
- Cultural sensitivity in design
- Ethical considerations in emotional design

This curriculum helps students develop a deep understanding of human psychology and its application in creating more effective and emotionally intelligent robotic systems.

Robot Models

Yo-ree

Education, Service and Companion Robot

Yo-ree education

CORE Robot Platform

Companion and Service robots with feelings

Robot CORE

Other Robots:

If you want to continue gainning knowledge into the robotics field you can take request, or take other courses . You can also order other robotic versions for assembling and customize. You can develop Robotic Kiosks. You can also request to manufacture your own inventions or Systems in Metal Sheet and also into the robotics field.