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Duration 21 hours
Course Outline
Foundations of 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: 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 through safety design
Verification and Validation Strategies
- Testing robotic behaviors within simulated environments
- Applying formal verification methods and test case design
- Employing data-driven validation and monitoring techniques
Developing Robust Safety Cases
- Structuring and defining the content of a safety case
- Documenting compliance and ensuring traceability
- Leveraging tools for evidence management and risk justification
Explainable AI in Robotics
- Enhancing transparency in decision-making processes
- Applying interpretability techniques to ML-based control systems
- Communicating robotic behaviors to users and regulatory bodies
Ethical and Governance Perspectives
- Core ethical principles in robotics and autonomous systems
- Addressing bias, accountability, and responsibility in AI-driven robotics
- Balancing innovation with public trust and regulatory compliance
Practical Workshop: Constructing a Safe and Explainable Robotics Scenario
- Designing a small-scale robotic simulation using ROS 2 or Gazebo
- Implementing verification and validation procedures
- Formulating and presenting a safety case summary
Conclusion and Future Steps
Requirements
- Fundamental knowledge of robotics systems and control architectures
- Proficiency in Python programming and simulation tools
- Understanding of system engineering or safety processes
Target Audience
- System engineers developing robotics or autonomous systems
- Safety officers responsible for compliance with functional safety standards
- Technical managers overseeing the integration and deployment of robotics
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.
