Executive Development Programme in Multi Robot Human Interaction Design

This course is tailored for executives and managers in robotics and technology sectors interested in advancing human-robot interaction design. It equips participants with the strategic knowledge and practical tools necessary to design effective, human-centric robotic systems that enhance productivity and user experience.

Upon completion, participants will gain insights into the latest trends and technologies in multi-robot systems, learn to identify key human interaction challenges, and develop innovative solutions that align with business objectives. They will also enhance their ability to lead interdisciplinary teams, fostering collaboration between engineers, designers, and social scientists to create impactful robotic applications.

1. 1. Introduction to Multi-Robot Systems: Learners will explore the basics of multi-robot systems, including types of robots, communication protocols, and coordination strategies. They will gain foundational knowledge to understand the design and integration of robots in collaborative environments.
2. 2. Human-Robot Interaction Fundamentals: This module covers the principles of human-robot interaction, focusing on designing interactions that are safe, efficient, and user-friendly. Learners will learn to analyze and design human-robot interfaces, and understand the psychological and social aspects of human-robot interactions.
3. 3. Multi-Robot Perception and Sensing: Learners will study advanced perception and sensing techniques for multi-robot systems, including computer vision, object recognition, and sensor fusion. They will develop skills in selecting and implementing appropriate sensors for specific interaction designs.
4. 4. Robot Motion Planning and Control: This module delves into motion planning and control algorithms for robots, focusing on how to navigate through dynamic environments while avoiding obstacles and working collaboratively with other robots. Practical skills in programming and testing motion control systems will be developed.
5. 5. Multi-Robot Task Allocation: Learners will learn how to allocate tasks among multiple robots efficiently, considering factors such as robot capabilities, task dependencies, and environmental constraints. Practical exercises will help them develop algorithms for optimal task assignment.
6. 6. Interaction Design for Collaborative Robots: This module focuses on the design of collaborative robots that can work alongside humans in various settings. Learners will study best practices for designing interfaces that enhance productivity and safety, and learn to evaluate the effectiveness of different interaction designs.
7. 7. Advanced Human-Robot Interaction Techniques: In this module, learners will explore advanced interaction techniques such as natural language processing, gesture recognition, and affective computing. They will gain skills in implementing these techniques to create more intuitive and responsive human-robot interactions.
8. 8. Ethical Considerations in Multi-Robot Systems: This module addresses ethical issues related to the design and deployment of multi-robot systems, including privacy, security, and the impact on employment. Learners will develop a framework for ethical decision-making in the design process.
9. 9. Case Studies in Multi-Robot Human Interaction: Through in-depth case studies, learners will analyze real-world applications of multi-robot systems in human interaction, such as in healthcare, manufacturing, and service industries. They will learn to apply theoretical knowledge to solve practical problems.
10. 10. Project Development and Implementation: In this capstone module, learners will work on a project that integrates all the knowledge and skills acquired throughout the programme. They will design, implement, and evaluate a multi-robot system for a specific human interaction scenario, showcasing their ability to apply theoretical concepts to real-world challenges.