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Course Outline
Fundamentals of Safety and Explainability in Robotics
- Overview of safety and transparency principles in robotic systems.
- The regulatory and ethical landscape for robotics and AI.
- Relevant standards and frameworks, including 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 levels and implementing mitigation strategies through safety design.
Methods for Verification and Validation
- Evaluating robotic behaviors within simulated environments.
- Applying formal verification methods and designing comprehensive test cases.
- Utilizing data-driven validation and continuous monitoring techniques.
Constructing a Safety Case
- Defining the structure and essential content of a safety case.
- Recording compliance details and ensuring traceability.
- Leveraging tools for evidence management and risk justification.
Explainable AI in Robotics
- Enhancing the transparency of decision-making processes.
- Applying interpretability techniques to ML-based control systems.
- Communicating robotic behaviors effectively to end-users and regulatory bodies.
Ethical and Governance Perspectives
- Core ethical principles guiding robotics and autonomous systems.
- Addressing bias, accountability, and responsibility in AI-driven robotics.
- Striking a balance between innovation, public trust, and regulatory requirements.
Practical Workshop: Constructing a Safe and Explainable Robotics Scenario
- Designing a small-scale robotic simulation using ROS 2 or Gazebo.
- Executing verification and validation procedures.
- 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 established safety processes.
Target Audience
- System engineers focused on robotics or autonomous systems.
- Safety professionals responsible for adhering 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.
