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Course Outline
Introduction to Safety and Explainability in Robotics
- Overview of safety and transparency principles in robotic systems.
- Regulatory and ethical context governing robotics and AI.
- Key standards and frameworks, including ISO 26262, ISO 10218, and ISO/IEC 42001.
Risk and Hazard Analysis
- Identifying hazards in autonomous and semi-autonomous systems.
- Conducting Failure Mode and Effects Analysis (FMEA).
- Quantifying risk and implementing mitigation strategies through safety design.
Verification and Validation Techniques
- Testing robotic behaviors within simulated environments.
- Applying formal verification and designing rigorous test cases.
- Utilizing data-driven validation and continuous monitoring techniques.
Safety Case Development
- Structuring and defining the content of a comprehensive safety case.
- Documenting compliance metrics and 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.
- Explaining robotic behaviors clearly to users and regulatory bodies.
Ethical and Governance Considerations
- Core ethical principles applicable to 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.
- Executing verification and validation procedures.
- Developing and presenting a concise safety case summary.
Summary and Next Steps
Requirements
- Fundamental understanding of robotics systems and control architectures.
- Proficiency with Python programming and relevant simulation tools.
- Knowledge of system engineering or established safety processes.
Target Audience
- System engineers specializing in robotics or autonomous systems.
- Safety officers responsible for compliance with functional safety standards.
- Technical managers overseeing the integration and deployment of robotics.
21 Hours
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.
