Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Safety and Explainability in Robotics
- Overview of safety and transparency in robotic systems
- Regulatory and ethical context for robotics and AI
- Standards and frameworks: ISO 26262, ISO 10218, and ISO/IEC 42001
Risk and Hazard Analysis
- Identifying hazards in autonomous and semi-autonomous systems
- Performing Failure Mode and Effects Analysis (FMEA)
- Quantifying risk and mitigation through safety design
Verification and Validation Techniques
- Testing robotic behaviors in simulated environments
- Formal verification and test case design
- Data-driven validation and monitoring techniques
Safety Case Development
- Structure and content of a safety case
- Documenting compliance and traceability
- Using tools for evidence management and risk justification
Explainable AI for Robotics
- Making decision-making processes transparent
- Interpretability techniques for ML-based control systems
- Explaining robotic behaviors to users and regulators
Ethical and Governance Considerations
- Ethical principles in robotics and autonomous systems
- Bias, accountability, and responsibility in AI-driven robotics
- Balancing innovation with public trust and regulation
Hands-On Workshop: Building a Safe and Explainable Robotics Scenario
- Designing a small robotic simulation in ROS 2 or Gazebo
- Applying verification and validation procedures
- Developing and presenting a safety case summary
Summary and Next Steps
Requirements
- Foundational understanding of robotics systems and control architectures
- Proficiency with Python programming and simulation tools
- Knowledge of system engineering or safety processes
Audience
- System engineers involved in the development of robotics or autonomous systems
- Safety officers responsible for ensuring compliance with functional safety standards
- Technical managers overseeing the integration and deployment of robotics solutions
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.
