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Course Outline
Introduction to Safety and Explainability in Robotics
- Overview of safety and transparency in robotic systems.
- Regulatory and ethical context for robotics and AI.
- Standards and frameworks: ISO 26262, ISO 10218, and ISO/IEC 42001.
Risk and Hazard Analysis
- Identifying hazards in autonomous and semi-autonomous systems.
- Performing Failure Mode and Effects Analysis (FMEA).
- Quantifying risk and implementing mitigation through safety design.
Verification and Validation Techniques
- Testing robotic behaviours in simulated environments.
- Formal verification and test case design.
- Data-driven validation and monitoring techniques.
Safety Case Development
- Structure and content of a safety case.
- Documenting compliance and traceability.
- Utilising tools for evidence management and risk justification.
Explainable AI for Robotics
- Making decision-making processes transparent.
- Interpretability techniques for ML-based control systems.
- Explaining robotic behaviours to users and regulators.
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 regulation.
Hands-On Workshop: Building a Safe and Explainable Robotics Scenario
- Designing a small robotic simulation in ROS 2 or Gazebo.
- Applying verification and validation procedures.
- Developing and presenting a safety case summary.
Summary and Next Steps
Requirements
- Basic understanding of robotics systems and control architectures.
- Familiarity with Python programming and simulation tools.
- Knowledge of system engineering or safety processes.
Audience
- System engineers working on robotics or autonomous systems.
- Safety officers ensuring compliance with functional safety standards.
- Technical managers overseeing 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.
