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Duration 14 hours
Course Outline
Introduction to Human-Centric Physical AI
- Survey of Physical AI and its human-centred philosophy.
- The development trajectory of collaborative robots (cobots).
- Applications within industrial, healthcare, and service industries.
Collaborative Robots in Practice
- Gaining insight into the capabilities and limitations of cobots.
- Core attributes: Safety, adaptability, and ease of use.
- Practical demonstration of cobot interactions.
Human-Machine Interaction
- Guiding principles for effective collaboration between humans and AI.
- Designing intuitive interfaces and operational workflows.
- Addressing cognitive and ergonomic considerations.
Workplace Integration Strategies
- Evaluating organisational preparedness for AI adoption.
- Cultivating AI-supportive work environments.
- Training and upskilling staff for effective AI collaboration.
Navigating Challenges
- Strategies and solutions for overcoming resistance to AI adoption.
- Ethical implications of AI in workplace settings.
- Ensuring inclusivity and accessibility in AI design.
Future Trends in Human-Centric Physical AI
- Emerging technologies within collaborative robotics.
- Innovations in human-centred AI design.
- Visioning the future of collaboration between humans and AI.
Summary and Next Steps
Requirements
- Fundamental knowledge of AI concepts and automation processes.
- Knowledge of workplace dynamics and team collaboration methods.
Target Audience
- Workforce trainers.
- HR specialists.
- Managers responsible for implementing AI systems.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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Testimonials (2)
Supply of the materials (virtual machine) to get straight into the excersises, and the explanation of the Ros2 core. Why things work a certain way.
Arjan Bakema
Course - Autonomous Navigation & SLAM with ROS 2
its knowledge and utilization of AI for Robotics in the Future.