Executive Development Programme in Human Centred Robot System Development

This program is designed for senior executives and leaders in technology, robotics, and related industries. It aims to equip participants with the strategic insights and practical skills needed to develop human-centered robotic systems that enhance human capabilities and improve user experience.

Participants will gain a deep understanding of the human-robot interaction dynamics, learn to integrate ethical considerations into robotic system design, and master the business case for human-centric robotics. They will also develop leadership skills tailored for the emerging field of human-robot integration, enabling them to drive innovation and foster a future where technology serves humanity.

1. 1. Introduction to Human-Centred Robot Systems: Learners will explore foundational concepts of human-centred robot systems, including the principles of human-robot interaction and the design considerations for creating robots that are intuitive and user-friendly. They will gain an understanding of the ethical and social implications of robot design.
2. 2. Human Factors in Robot Design: This module delves into the psychological and physiological aspects of human interaction with robots, focusing on ergonomics, cognitive load, and user experience design. Learners will learn how to apply human-centred design principles to enhance robot usability and effectiveness.
3. 3. Robot Perception and Sensor Technologies: Students will study the various sensor technologies used in robot systems, including visual, auditory, and tactile sensors, and their application in real-world scenarios. Practical skills include setting up and calibrating sensors, and interpreting sensor data to improve robot perception accuracy.
4. 4. Machine Learning for Robot Behaviour: This module covers the use of machine learning algorithms in robot behavior, focusing on supervised, unsupervised, and reinforcement learning techniques. Learners will develop skills in training robots to perform complex tasks autonomously and adapt to changing environments.
5. 5. Robot Navigation and Path Planning: Learners will learn about the algorithms and techniques used in robot navigation and path planning, including global and local path planning, localization, and mapping. Practical exercises include programming robots to navigate through indoor and outdoor environments.
6. 6. Human-Robot Interaction: This module focuses on the communication and interaction between humans and robots, covering topics such as natural language processing, gesture recognition, and multimodal interaction. Learners will develop skills in designing interfaces that facilitate effective and intuitive human-robot communication.
7. 7. Ethics and Legal Issues in Robotics: Students will explore the ethical and legal considerations in the development and deployment of robot systems, including privacy issues, liability, and the impact on employment and society. They will learn how to navigate these challenges and ensure responsible robot development.
8. 8. Advanced Robot Control: This module covers advanced control techniques for robot systems, including feedback control, model predictive control, and adaptive control. Learners will gain practical experience in designing and implementing control systems that enable robots to perform complex tasks with precision and efficiency.
9. 9. Robot System Integration: Students will learn how to integrate various robot systems into larger, more complex environments, focusing on system architecture, data management, and interoperability. Practical skills include designing and implementing integrated robot systems that can work collaboratively.
10. 10. Case Studies and Industry Insights: This module provides learners with an in-depth look at real-world applications of human-centred robot systems in various industries. Through case studies and guest lectures from industry experts, learners will gain insights into the challenges and opportunities in deploying robot systems in practical settings.