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Course Outline
Foundations of Safety and Explainability in Robotics
- Overview of safety and transparency requirements for robotic systems
- The regulatory and ethical landscape for robotics and AI
- Key standards and frameworks, including ISO 26262, ISO 10218, and ISO/IEC 42001
Risk and Hazard Assessment
- Identification of hazards in autonomous and semi-autonomous platforms
- Execution of Failure Mode and Effects Analysis (FMEA)
- Quantification of risk and implementation of mitigations through safety-centered design
Verification and Validation Methodologies
- Evaluation of robotic behaviors within simulated environments
- Application of formal verification and test case design strategies
- Utilization of data-driven validation and monitoring techniques
Developing Safety Cases
- Structuring the content of a comprehensive safety case
- Documenting compliance and ensuring traceability
- Leveraging tools for evidence management and risk justification
Explainable AI Applications in Robotics
- Enhancing the transparency of decision-making processes
- Applying interpretability techniques to ML-based control systems
- Explaining robotic behaviors to end-users and regulatory bodies
Ethical and Governance Perspectives
- Core ethical principles governing robotics and autonomous systems
- Addressing bias, accountability, and responsibility in AI-driven robotics
- Striking a balance between innovation, public trust, and regulatory compliance
Practical Workshop: Creating a Safe and Explainable Robotics Scenario
- Designing a small-scale robotic simulation using ROS 2 or Gazebo
- Implementing verification and validation procedures
- Drafting and presenting a summary of the safety case
Conclusion and Future Directions
Requirements
- A foundational understanding of robotic systems and control architectures
- Proficiency with Python programming and simulation tools
- Knowledge of system engineering principles or safety processes
Target Audience
- System engineers specializing in robotics or autonomous systems
- Safety professionals responsible for adherence to functional safety standards
- Technical managers supervising the integration and deployment 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.
