• Understand the principles of ethical and safe robotics.

• Learn robotic system architecture and components.

• Apply AI to perception, motion, and decision-making.

• Develop algorithms that ensure predictable robot behaviour.

• Integrate explainability and transparency in robotic AI.

• Design robots compliant with safety standards and regulations.

• Simulate human–robot interactions using ROS and Gazebo.

• Address fairness, accountability, and bias in autonomous systems.

• Explore certification frameworks for trustworthy AI and robotics.

• Prepare for careers in robotics, automation, and AI safety engineering.

Course Syllabus

Module 1: Introduction to Robotics and Ethical AI Principles
Module 2: Robot Kinematics, Dynamics, and Control Systems
Module 3: AI and Machine Learning in Robotics
Module 4: Safety and Reliability Frameworks for Autonomous Systems
Module 5: Ethical and Legal Dimensions of Robotic Design
Module 6: Explainability and Transparency in Robotic Decision-Making
Module 7: Tools and Frameworks – ROS, Gazebo, and Python for Robotics
Module 8: Human–Robot Interaction (HRI) Design and Testing
Module 9: Standards and Compliance – IEEE 7007, ISO 13482
Module 10: Capstone Project – Design a Trustworthy Robotic System

Upon successful completion, learners receive a Certificate of Completion from Uplatz, validating their expertise in Trustworthy Robotics. This Uplatz certification demonstrates your ability to design AI-driven robots that are safe, transparent, and ethically aligned with human values.

The certification aligns with the growing demand for ethical AI and responsible automation in sectors such as manufacturing, defense, healthcare, and service robotics.

Holding this certification establishes you as a robotics professional capable of developing systems that earn public trust — through safety assurance, human-centred design, and regulatory compliance.

With robots playing increasingly crucial roles in society, trustworthy robotics engineers are essential for ensuring their safe and ethical deployment. Completing this course from Uplatz prepares you for positions such as:

• Robotics Engineer (Safety and Ethics)

• AI Robotics Developer

• Automation Ethics Specialist

• Human–Robot Interaction Designer

• AI Safety Researcher

Professionals in this field typically earn between $110,000 and $200,000 per year, depending on expertise and sector.

Career opportunities span robotics companies, AI research labs, autonomous vehicle firms, and ethical AI policy organisations, where the focus is on transparency, safety, and public confidence in autonomous systems.

1. What is Trustworthy Robotics?
   It is the practice of designing robotic systems that are ethical, safe, and reliable for human use.

2. Why is trust important in robotics?
   Because users must rely on robots to make decisions that affect safety, privacy, and fairness.

3. What are key principles of trustworthy robotics?
   Transparency, accountability, safety, fairness, and explainability.

4. What is explainable AI (XAI) in robotics?
   It enables robots to justify their decisions in a human-understandable way.

5. What are major ethical issues in robotics?
   Privacy invasion, bias in AI, job displacement, and misuse of automation.

6. What is the IEEE 7007 standard?
   A framework for ethically aligned design of autonomous and intelligent systems.

7. How does ROS help in developing trustworthy robots?
   It allows modular, transparent, and reproducible robotic programming.

8. What are methods for ensuring robot safety?
   Redundancy, real-time monitoring, fallback mechanisms, and testing in simulation.

9. How can bias enter robotic systems?
   Through training data, flawed algorithms, or unrepresentative testing environments.

10. What industries require trustworthy robotics?
    Healthcare, defense, manufacturing, logistics, and autonomous transport.