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Course Outline
Introduction to Safety and Explainability in Robotics
- Overview of safety and transparency mechanisms in robotic systems
- Regulatory and ethical landscape for robotics and AI
- Key standards and frameworks: ISO 26262, ISO 10218, and ISO/IEC 42001
Risk and Hazard Analysis
- Identifying potential hazards in autonomous and semi-autonomous systems
- Conducting Failure Mode and Effects Analysis (FMEA)
- Quantifying risk and implementing mitigations through safety design
Verification and Validation Techniques
- Testing robotic behaviors within simulated environments
- Applying formal verification and designing test cases
- Employing data-driven validation and monitoring methods
Safety Case Development
- Structuring and defining the content of a safety case
- Documenting compliance and maintaining traceability
- Leveraging tools for evidence management and risk justification
Explainable AI for Robotics
- Enhancing the transparency of decision-making processes
- Utilizing interpretability techniques for ML-based control systems
- Communicating robotic behaviors to end-users and regulatory bodies
Ethical and Governance Considerations
- Ethical principles guiding robotics and autonomous systems
- Addressing bias, accountability, and responsibility in AI-driven robotics
- Striking a balance between innovation and public trust through regulation
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
- Formulating and presenting a safety case summary
Summary and Next Steps
Requirements
- Fundamental understanding of robotics systems and control architectures
- Proficiency in Python programming and simulation tools
- Knowledge of system engineering or safety processes
Target Audience
- System engineers focused on robotics or autonomous systems
- Safety officers responsible for functional safety standards compliance
- 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.
