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Course Outline
Foundations of Safety and Explainability in Robotics
- An overview of safety and transparency requirements in robotic systems
- The regulatory and ethical landscape for robotics and AI
- Key standards and frameworks: ISO 26262, ISO 10218, and ISO/IEC 42001
Risk and Hazard Assessment
- Identifying potential hazards in autonomous and semi-autonomous systems
- Conducting Failure Mode and Effects Analysis (FMEA)
- Quantifying risk and implementing mitigation strategies through safety-by-design
Verification and Validation Methodologies
- Testing robotic behaviors within simulated environments
- Applying formal verification and designing robust test cases
- Utilizing data-driven validation and monitoring approaches
Developing Safety Cases
- Structuring and defining the content of a safety case
- Documenting compliance metrics and 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
- Communicating robotic behaviors clearly to users and regulators
Ethical and Governance Perspectives
- Core ethical principles guiding robotics and autonomous systems
- Addressing bias, accountability, and responsibility in AI-driven robotics
- Balancing technological innovation with public trust and regulatory requirements
Practical Workshop: Constructing a Safe and Explainable Robotics Scenario
- Designing a basic robotic simulation using ROS 2 or Gazebo
- Implementing verification and validation protocols
- Formulating and presenting a summary of the safety case
Conclusion and Future Directions
Requirements
- Fundamental knowledge of robotics systems and control architectures
- Proficiency in Python programming and the use of simulation tools
- Understanding of system engineering or safety management processes
Target Audience
- System engineers involved in robotics or autonomous system development
- Safety professionals responsible for adhering to functional safety standards
- Technical managers supervising robotics integration and deployment strategies
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.