• CL-AIR
  • 3 days
  • AI, ROS

Description

This intensive course on AI Robotics is designed to immerse participants in the cutting-edge field of robotics, blending foundational knowledge with practical, hands-on exercises. Learners will explore the crucial intersection of hardware and software, understanding how AI connects to robotics and the current landscape. Participants will comprehensively understand how robots perceive and interact with their environment.

Practical skills are a cornerstone of this learning experience; students will engage in exercises that mimic real-world robotics challenges, gaining hands-on experience integrating AI solutions into robotic hardware.

Leveraging the insights from a comprehensive survey of over 350 research papers and current market analysis, including advancements by companies like OpenAI, Amazon, Boston Dynamics, and Tesla, the course is structured to provide both theoretical knowledge and practical applications. The curriculum also includes creating simulations on cloud platforms for accelerated model training, offering an excellent opportunity to engage with the material actively and envision the future trajectory of AI in robotics.

Participants attending this course will

  • Be able to articulate the current state of AI Robotics
  • Understand and be able to articulate the current challenges and proposed solutions
  • Be able to evaluate robotics project technological feasibility
  • Gain practical skills in integrating AI solutions into robotic hardware
  • Engage in hands-on exercises that simulate real-world robotic challenges
  • Explore different foundation models for robotics (LLM, VLM, VLA) and reason about their capabilities
  • Create simulations on cloud platforms for accelerated model training
  • Be able to make reasonable predictions about robotics

Outline

  • Introduction to AI Robotics
  • Programming ROS
  • Sensors and data modalities
  • Exploring robotic foundation models
  • End-to-end versus modular approaches
  • Integrating multiple models
  • State-of-the-art humanoid robots
  • Safety and security in robotics

Course information

Preparedness

AI Fundamentals, Software development, Robotics fundamentals

Exercises

Hands-on

Delivery methods

Onsite / Virtual classroom

Table of contents

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