RESERVE MY SPOT
Dr. Nikolaos Mavridis, PhD from the Massachusetts Institute of Technology, is an academic and consultant specializing in the fields of Artificial Intelligence and Robotics. He is the founder and director of the Interactive Robots and Media Lab (IRML) and has served in various professor positions, including NYU Poly and AD, Innopolis University, and UAEU. He has been a four-time TEDx speaker, as well as a speaker at Singularity University, and is also a pro-bono contributor to a number of organizations. His interests include human-robot interaction, machine learning, cognitive systems, and he has more than 80 peer-reviewed academic publications. Nikolaos is a member of the MIT Educational Council, a mentor for the MIT Enterprise Forum, and is frequently invited for keynote talks worldwide.
CLO1: Demonstrate understanding of fundamental concepts related to verbal and non-verbal human-robot interaction, machine perception, and human-aware planning.
CLO2: Analyze, synthesize, evaluate, and critically assess small-scale intelligent robots, systems with various embodiments, and relevant sub-systems, with a range of capabilities including verbal and non-verbal human-robot interaction, machine perception, and human-aware planning.
CLO3: Design and implement small-scale embodied systems and/or subsystems that exhibit one or a mixture of human-robot interaction, human- or environment-aware perception, and human-aware planning.
SKILLS:
- Robotics
- Programming
- Algorithms
- Human Computer Interaction
- Computer Vision
- Algorithms & Data Structures
- C++
- Matlab
- Java
DATE: 27 Nov - 13 Dec, 2019
DURATION: 3 Weeks
LECTURES: 3 Hours per day
LANGUAGE: English
LOCATION: Barcelona, Harbour.Space Campus
COURSE TYPE: Offline
WHAT YOU WILL LEARN
COURSE OUTLINEABOUT NIKOLAOS
BIBLIOGRAPHYHARBOUR.SPACE 
In a significant number of modern application areas, there is the need for robots that have combined abilities
of perception, language, and planning.
Perceptual needs often include advanced vision as well as human-centered vision; examples include
targeting action/activity and affective state recognition. Language is often part of a wider repertoire of fluid
interaction with humans, including advanced natural language dialogue capabilities, often augmented with
elements of non-verbal language. Furthermore, requirements for Planning algorithms often include advanced
human-aware planning, including socially-aware motion planning as well as planning techniques enabling
collaboration. As such, special methodologies and techniques arising from the field of Human-Robot
Interaction studies, as well as social robotics and human-robot teams, are becoming increasingly important
towards the creation of such systems.
In this course, after a contextualization of robotics in a wider space and an introduction of certain relevant
notions from the cognitive sciences, we will examine the above four areas, and engage in hands-on mini
projects in order to provide practical skills as well as the opportunity to provide more depth towards
sub-areas that are better matched to each specific student’s background and interests.
NIKOLAOS MAVRIDIS
Harbour.Space is a university created by entrepreneurs for entrepreneurs. We focus on meeting the demands of the future, while traditional education providers are too often stuck in the past.
We’re one of the only European institutions completely dedicated to technology, design and entrepreneurship, and our interdisciplinary courses are taught by some of today’s leading professionals. Our aim is not only to equip students with the knowledge to take on the real world, but to nurture, create and shape tomorrow’s tech superstars.
HARBOUR.SPACE UNIVERSITY
DATE: 27 Nov - 13 Dec, 2019
DURATION: 3 Weeks
LECTURES: 3 Hours per day
LANGUAGE: English
LOCATION: Barcelona, Harbour.Space Campus
COURSE TYPE: Offline
Session 2
Contextualization of Intelligent Robotics and Project Definition
Session 3-5
Verbal and non-verbal interaction
Session 1
Introduction to the course
All rights reserved. 2018
Session 6-7
Advanced Perception
In a significant number of modern application areas, there is the need for robots that have combined abilities
of perception, language, and planning.
Perceptual needs often include advanced vision as well as human-centered vision; examples include
targeting action/activity and affective state recognition. Language is often part of a wider repertoire of fluid
interaction with humans, including advanced natural language dialogue capabilities, often augmented with
elements of non-verbal language. Furthermore, requirements for Planning algorithms often include advanced
human-aware planning, including socially-aware motion planning as well as planning techniques enabling
collaboration. As such, special methodologies and techniques arising from the field of Human-Robot
Interaction studies, as well as social robotics and human-robot teams, are becoming increasingly important
towards the creation of such systems.
In this course, after a contextualization of robotics in a wider space and an introduction of certain relevant
notions from the cognitive sciences, we will examine the above four areas, and engage in hands-on mini
projects in order to provide practical skills as well as the opportunity to provide more depth towards
sub-areas that are better matched to each specific student’s background and interests.
Integrated Intelligence in Robotics: Vision, Language and Planning
Integrated Intelligence in Robotics: Vision, Language, and Planning