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Course Outline
Foundations of Safety and Transparency in Robotics
- Snapshot of safety and clarity metrics in robotic systems
- Regulatory and ethical landscape for robotics and artificial intelligence
- Key standards and frameworks: ISO 26262, ISO 10218, and ISO/IEC 42001
Risk and Hazard Assessment
- Recognizing potential dangers in autonomous and semi-autonomous units
- Conducting Failure Mode and Effects Analysis (FMEA)
- Measuring risk and implementing mitigation via safety-focused design
Verification and Validation Methods
- Assessing robotic performance in virtual settings
- Formal verification and construction of test scenarios
- Data-centric validation and continuous monitoring strategies
Constructing Safety Cases
- Architecture and elements of a robust safety case
- Recording adherence and traceability
- Leveraging tools for evidence tracking and risk substantiation
Explainable AI in Robotics
- Enhancing the clarity of decision-making workflows
- Interpretability methods for machine learning-based control systems
- Articulating robotic actions to users and regulatory bodies
Ethical and Governance Implications
- Ethical tenets governing robotics and autonomous technology
- Bias, liability, and accountability in AI-driven robotics
- Reconciling technological advancement with public confidence and oversight
Practical Workshop: Crafting a Safe and Transparent Robotics Scenario
- Architecting a compact robotic simulation using ROS 2 or Gazebo
- Applying verification and validation protocols
- Drafting and presenting a summary of the safety case
Conclusion and Future Pathways
Requirements
- Fundamental grasp of robotic systems and control structures
- Proficiency in Python scripting and simulation software
- Understanding of systems engineering or safety workflows
Intended Participants
- Systems engineers engaged in robotics or autonomous projects
- Safety professionals responsible for adhering to functional safety criteria
- Technical leaders supervising the integration and rollout 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.
