Generative AI in Robotics: Creating Autonomous Solutions Training Course
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.
Course Outline
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
Requirements
- An understanding of robotics fundamentals
- Experience with programming in Python or C++
- Familiarity with basic AI concepts
Audience
- Robotics engineers
- AI researchers
Open Training Courses require 5+ participants.
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