Course Outline
Foundations of Safety and Explainability in Robotics
- Overview of safety and transparency in robotic systems
- Regulatory and ethical landscape for robotics and AI
- Relevant standards and frameworks: ISO 26262, ISO 10218, and ISO/IEC 42001
Risk and Hazard Analysis
- Identification of hazards in autonomous and semi-autonomous systems
- Execution of Failure Mode and Effects Analysis (FMEA)
- Risk quantification and mitigation through safety-oriented design
Verification and Validation Techniques
- Testing robotic behaviors within simulated environments
- Formal verification methods and test case design
- Data-driven validation and monitoring approaches
Development of Safety Cases
- Structure and core components of a safety case
- Documentation of compliance and traceability
- Utilization of tools for evidence management and risk justification
Explainable AI in Robotics
- Enhancing transparency in decision-making processes
- Interpretability techniques for ML-based control systems
- Communicating robotic behaviors to users and regulators
Ethical and Governance Considerations
- Ethical principles applicable to robotics and autonomous systems
- Addressing bias, accountability, and responsibility in AI-driven robotics
- Striking a balance between innovation and public trust or regulatory requirements
Practical Workshop: Creating a Safe and Explainable Robotics Scenario
- Designing a small robotic simulation using ROS 2 or Gazebo
- Implementing verification and validation procedures
- Formulating and presenting a summary of the safety case
Conclusion and Future Directions
Requirements
- Fundamental understanding of robotics systems and control architectures
- Proficiency with Python programming and simulation tools
- Background knowledge in system engineering or safety processes
Target Audience
- System engineers involved in robotics or autonomous systems
- Safety professionals ensuring adherence to functional safety standards
- Technical managers supervising the integration and deployment of robotics
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 3900 € + VAT*
Contact us for an exact quote and to hear our latest promotions
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.
