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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
- Basic understanding of robotics systems and control architectures
- Familiarity with Python programming and simulation tools
- Knowledge of system engineering or safety processes
Audience
- System engineers working on robotics or autonomous systems
- Safety officers ensuring compliance with functional safety standards
- Technical managers overseeing robotics integration and deployment
21 Hours
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £5700 online delivery, based on a group of 2 delegates, £1800 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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its knowledge and utilization of AI for Robotics in the Future.
