Robotics: Human-Robot Interaction - Theory and applications
What you'll learn
- Learn about the fundamentals of the Human-Robot Interaction (HRI) area.
- Understand HRI design concepts such as: interface design, productivity, and safety.
- Study evaluation metrics of HRI systems such as: mission effectiveness, human and robot efficiency, cognitive indicators, among others.
- Understand design concepts such as level of autonomy from the HRI point of view, types of robot models, team structure, among others.
- Design the taxonomy of an HRI system
- Measurement of human factors such as mental and physical work demand, sleepiness, among others.
- Artificial intelligence applications in HRI systems
- Design and evaluate HRI systems for different applications
Requirements
- Basic knowledge of robotics and artificial intelligence (desirable but not essential)
- No prior programming experience is required. This course covers theory and applications.
- Basic knowledge of mathematics (desirable but not essential)
Description
This course presents the fundamentals of a new area of research related to robotics called Human-Robot Interaction (HRI), which is based on the physical, cognitive, and social interaction between humans and robots. The HRI area focuses on understanding, designing, and evaluating the interaction between humans and robots that can communicate and/or share the physical space or workspace. The motivation for using HRI systems for an application where humans and robots can interact and cooperate is to reap the benefits of both worlds. For example, robots are great at performing repetitive and precise tasks, but they are not always useful for tasks that are complex or performed in unstructured environments. Humans, on the other hand, are excellent at complex manual tasks, have creativity, and excellent problem-solving skills, but tend to get tired or distracted easily. Among the main benefits of collaboration between humans and robots is to increase the productivity or efficiency of a process or a particular task, while reducing the workload of the human, and giving support to it in tasks that require it.
The theoretical foundations of the course, as well as the applications and case studies presented, will serve as a basis for students and professionals to work or investigate various applications that are not easy to fully automate, and that can benefit from interaction and cooperation between humans and robots.
Who this course is for:
- This class is mainly theoretical and is open to anyone who wants to learn about the area of human-robot interaction. This applies to undergraduate and graduate engineering students, robotics researchers, as well as people working in technology and innovation companies.
Instructor
- 4.4 Instructor Rating
- 55 Reviews
- 3,240 Students
- 2 Courses
He is currently a professor-researcher at Universidad Andrés Bello in Chile in the Automation and Robotics faculty. Ph.D. in Electronic Engineering from the Universidad Técnica Federico Santa María - Chile. Electronics and Control Engineer from the Escuela Politécnica Nacional (EPN) - Ecuador. He worked as a researcher at the Artificial Intelligence and Vision Research Laboratory of the National Polytechnic School. He has investigated topics related to Robotics and Artificial Intelligence, Human-Robot Interaction (HRI), Human-Machine Interaction (HMI), assistance and collaborative systems, and algorithms able to detect different non-verbal communication techniques such as gestures, actions, and human cognitive parameters. He has also worked in the area of precision agriculture using cooperative robots capable of interacting and sharing the workspace with humans. His areas of interest are robotics, machine learning, deep learning, reinforcement learning, and computer vision.
Actualmente es profesor-investigador de la Universidad Andrés Bello en Chile en la facultad de Automatización y Robótica. Doctor en Ingeniería Electrónica por la Universidad Técnica Federico Santa María - Chile. Ingeniero en Electrónica y Control de la Escuela Politécnica Nacional (EPN) - Ecuador. Trabajó como investigador del Laboratorio de Investigación en Inteligencia y Visión Artificial de la Escuela Politécnica Nacional. Ha investigado en temas relacionados a la Robótica e Inteligencia Artificial, Interacción Humano-Robot (HRI), Interacción Humano-Máquina (HMI), sistemas de asistencia y colaborativos, algoritmos de detección de diferentes técnicas de comunicación no verbal como gestos, acciones, y parámetros cognitivos del ser humano. Ha trabajado también en área de la agricultura de precisión usando robots cooperativos capaces de interactuar y compartir el espacio de trabajo con el ser humano. Sus áreas de interés son robótica, aprendizaje de máquinas, aprendizaje profundo, aprendizaje por refuerzo, y visión por computador.