Human-Centric Physical AI: Collaborative Robots and Beyond

• Basic understanding of AI concepts and automation
• Familiarity with workplace dynamics and team collaboration

Audience

• Workforce trainers
• HR professionals
• Managers integrating AI systems

Human-Centric Physical AI emphasizes collaboration between humans and AI-driven physical systems to enhance productivity and safety in various environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level participants who wish to explore the role of collaborative robots (cobots) and other human-centric AI systems in modern workplaces.

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

• Understand the principles of Human-Centric Physical AI and its applications.
• Explore the role of collaborative robots in enhancing workplace productivity.
• Identify and address challenges in human-machine interactions.
• Design workflows that optimize collaboration between humans and AI-driven systems.
• Promote a culture of innovation and adaptability in AI-integrated workplaces.

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 Human-Centric Physical AI

• Overview of Physical AI and its human-centric approach
• The evolution of collaborative robots (cobots)
• Applications in industrial, healthcare, and service sectors

Collaborative Robots in Action

• Understanding cobot capabilities and limitations
• Key features: Safety, adaptability, and user-friendliness
• Hands-on demonstration of cobot interactions

Human-Machine Interaction

• Principles of effective collaboration between humans and AI
• Designing intuitive interfaces and workflows
• Addressing cognitive and ergonomic factors

Workplace Integration Strategies

• Assessing organizational readiness for AI adoption
• Creating AI-friendly work environments
• Training and upskilling employees for AI collaboration

Overcoming Challenges

• Resistance to AI adoption: Strategies and solutions
• Ethical considerations in AI-enabled workplaces
• Ensuring inclusivity and accessibility in AI design

Future Trends in Human-Centric Physical AI

• Emerging technologies in collaborative robotics
• Innovations in human-centered AI design
• Envisioning the future of AI-human collaboration

Summary and Next Steps