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Duration 21 hours
Course Outline
Introduction to Safety and Explainability in Robotics
- An overview of safety and transparency concepts in robotic systems.
- The regulatory and ethical landscape surrounding robotics and AI.
- Key standards and frameworks, including 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 strategies through safety-driven design.
Verification and Validation Techniques
- Assessment of robotic behaviors within simulated environments.
- Formal verification methods and test case design.
- Data-driven validation and continuous monitoring techniques.
Safety Case Development
- The structure and essential components of a safety case.
- Documenting compliance and ensuring traceability.
- Utilizing tools for evidence management and risk justification.
Explainable AI for Robotics
- Enhancing the transparency of decision-making processes.
- Interpretability techniques applicable to ML-based control systems.
- Communicating robotic behaviors clearly to users and regulatory bodies.
Ethical and Governance Considerations
- Core ethical principles in robotics and autonomous systems.
- Addressing bias, accountability, and responsibility in AI-driven robotics.
- Striking a balance between innovation, public trust, and regulation.
Practical Workshop: Constructing a Safe and Explainable Robotics Scenario
- Designing a basic robotic simulation using ROS 2 or Gazebo.
- Applying verification and validation procedures.
- Formulating and presenting a safety case summary.
Summary and Next Steps
Requirements
- A foundational understanding of robotics systems and control architectures.
- Proficiency in Python programming and relevant simulation tools.
- Knowledge of system engineering or established safety processes.
Target Audience
- System engineers involved in robotics or autonomous system development.
- Safety officers responsible for ensuring 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.
