Generative AI in Robotics: Creating Autonomous Solutions

• An understanding of robotics fundamentals
• Experience with programming in Python or C++
• Familiarity with basic AI concepts

Audience

• Robotics engineers
• AI researchers

Generative AI is a cutting-edge field of AI that focuses on creating systems that can generate new, complex patterns and behaviors.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level robotics engineers and AI researchers who wish to design and implement autonomous robotic systems using Generative AI techniques.

By the end of this training, participants will be able to:

• Understand the core concepts of Generative AI as they apply to robotics.
• Design and simulate autonomous robots using Generative AI models.
• Implement AI algorithms for robotic perception and decision-making.
• Evaluate the impact of AI-driven robots in various industries.
• Address the ethical considerations of deploying autonomous robotic systems.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Generative AI in Robotics

• Understanding Generative AI
• Core concepts in robotics and automation
• Overview of AI-driven robotic systems

Designing AI-Generated Robots

• Generative design processes for robotics
• Simulation and virtual testing of robotic models
• Case studies of generative robotics in action

AI in Robotic Perception and Decision-Making

• Sensory data processing with AI
• Machine learning for robotic cognition
• Workshop: Programming AI for robotic decision-making

Robotics in Manufacturing and Industry

• Automation and AI in industrial settings
• Collaborative robots (cobots) and human-robot interaction
• Impact assessment of AI robotics on workforce and productivity

AI Robotics in Service and Healthcare

• Service robots in retail, hospitality, and customer service
• AI-driven robots in healthcare and assisted living
• Ethical considerations in service robotics

Challenges and Future Directions

• Addressing technical and ethical challenges in AI robotics
• The future landscape of robotics in society
• Preparing for the next wave of AI advancements in robotics

Capstone Project

• Designing an AI-driven robotic solution for a real-world problem
• Implementing and testing the robotic prototype
• Critical analysis and feedback

Summary and Next Steps