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Course Outline
Introduction to Safety and Explainability in Robotics
- An overview of safety and transparency within robotic systems.
- The regulatory and ethical context surrounding robotics and AI.
- Relevant 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 risks and implementing mitigation through safety design.
Verification and Validation Techniques
- Testing robotic behaviours in simulated environments.
- Formal verification and the design of test cases.
- Data-driven validation and monitoring methods.
Safety Case Development
- The structure and essential content of a safety case.
- Documenting compliance and maintaining traceability.
- Utilizing tools for evidence management and risk justification.
Explainable AI for Robotics
- Ensuring decision-making processes are transparent.
- Interpretability techniques for ML-based control systems.
- Explaining robotic behaviours to users and regulatory bodies.
Ethical and Governance Considerations
- Ethical principles in robotics and autonomous systems.
- Bias, accountability, and responsibility in AI-driven robotics.
- Balancing innovation with public trust and regulatory requirements.
Hands-On Workshop: Building a Safe and Explainable Robotics Scenario
- Designing a small 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
- A fundamental understanding of robotics systems and control architectures.
- Familiarity with Python programming and simulation tools.
- Knowledge of system engineering or safety processes.
Target Audience
- System engineers involved in robotics or autonomous systems.
- Safety officers responsible for compliance with functional safety standards.
- Technical managers supervising robotics integration and deployment.
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.
