Course Outline
Introduction to Safety and Explainability in Robotics
- Overview of safety and transparency principles in robotic systems.
- The regulatory and ethical landscape for robotics and AI.
- Key standards and frameworks, including ISO 26262, ISO 10218, and ISO/IEC 42001.
Risk and Hazard Analysis
- Identifying potential hazards in autonomous and semi-autonomous systems.
- Conducting Failure Mode and Effects Analysis (FMEA).
- Quantifying risks and implementing mitigation strategies through safety design.
Verification and Validation Techniques
- Testing robotic behaviors within simulated environments.
- Applying formal verification methods and designing effective test cases.
- Utilizing data-driven validation and monitoring techniques.
Safety Case Development
- Structuring and defining the content of a comprehensive safety case.
- Documenting compliance and ensuring traceability.
- Leveraging tools for evidence management and risk justification.
Explainable AI for Robotics
- Enhancing the transparency of decision-making processes.
- Applying interpretability techniques to ML-based control systems.
- Communicating robotic behaviors to users and regulatory bodies.
Ethical and Governance Considerations
- Core ethical principles in robotics and autonomous systems.
- Addressing bias, accountability, and responsibility in AI-driven robotics.
- Balancing technological innovation with public trust and regulatory requirements.
Hands-On Workshop: Building a Safe and Explainable Robotics Scenario
- Designing a small-scale robotic simulation using ROS 2 or Gazebo.
- Implementing verification and validation procedures.
- Developing and presenting a summary of the safety case.
Summary and Next Steps
Requirements
- Foundational understanding of robotics systems and control architectures.
- Proficiency with Python programming and relevant simulation tools.
- Basic knowledge of system engineering or safety processes.
Target Audience
- System engineers focused on robotics or autonomous systems.
- Safety professionals ensuring adherence to functional safety standards.
- Technical managers responsible for overseeing robotics integration and deployment.
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 4800 € + 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.
