Omar Eldardeer is a Post-Doc at the Italian Institute of Technology. His research is about cognitive robotics architectures, focusing on integrated audio-visual models. Omar received his M.Sc. degree from the University of Essex, the UK in Artificial Intelligence and Robotics and his Ph.D. From the University of Genova and the Italian Institute of Technology. His research interests are in robot perception and learning.
Omar Khaled Elsayed Mohamed Eldardeer
Post Doc
Post DocCOgNiTive Architecture for Collaborative Technologies
Indirizzo
Via Enrico Melen 83, Building B 16152 Genova, Italy
Research center
CHT@Erzelli
Interests
Cognitive Architectures
Robot Perception
Robot Audition
Biografia
Education
Title: Ph.D. Bioengineering and Robotics
Institute: Università di genova
Location: Genova
Country: Italy
From: 2019 To: 2023
Title: MSc Intelligent Systems and Robotics
Institute: University of Essex
Location: Colchester
Country: UK
From: 2018 To: 2019
Title: BEng. Electrical Energy Engineering
Institute: Cairo University
Location: Cairo
Country: Egypt
From: 2012 To: 2017
All Publications
2024
Eldardeer O., Rea F., Sandini G., Mohan V.
Autonomous Navigation with Cumulatively Growing Cognitive Maps
40th Anniversary of the IEEE Conference on Robotics and Automation
Abstract Report
Conference
2024
Cocchella F., Eldardeer O., Manca M., Matarese M., Rezzani A., Zedda E.
Robots for Humans (RfH 2024)-Embracing Human-Centred Robot Design
ACM International Conference Proceeding Series
2024
Eldardeer O., Grasse L., Rea F., Tata M.
Virtual Datasets for Spatial Hearing in Robotics
Workshop on Embodied Voices at Robotics Science and Systems Conference (RSS)
Conference Paper
Conference
2023
Jirak D., Belgiovine G., Eldardeer O., Rea F.
A Novel Experiment Design for Vision-Based Fatigue Detection
Lecture Notes in Computer Science, vol. 14020 LNCS, pp. 390-398
2023
Eldardeer O., Mazzola C., Rea F., Sandini G., Sciutti A.
How to Enable Human-Robot Shared Perception
the Fourth Workshop on Adapted intEraction with SociAl Robots at CHItaly 2023
Conference Paper
Conference
Scientific Talks
2024
Eldardeer O.
iCub to Understand Multimodal Cognitive Perception
Workshop on Intelligent, Interactive, Embodied Agents
Workshop/Symposium
2024
Eldardeer O.
Value Of Joint EXperimentation in digital Technologies for manufacturing and construction (VOJEXT).
Robots for Humans (RfH)
Workshop/Symposium
Oral presentations
2024
Eldardeer O., Grasse L., Rea F., Tata M.
Virtual Datasets for Spatial Hearing in Robotics
Workshop on Embodied Voices at Robotics Science and Systems Conference (RSS)
Conference
2023
Eldardeer O., Mazzola C., Rea F., Sandini G., Sciutti A.
How to Enable Human-Robot Shared Perception
the Fourth Workshop on Adapted intEraction with SociAl Robots at CHItaly 2023
Conference
2023
Eldardeer O., Bar-Magen J., Rea F.
Software Architecture for Safety, Ergonomics, and Interaction for Industrial Mobile Robotic Platforms
25TH INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION, pp. 509-517
Conference
2021
Eldardeer O., Sciutt A., Tata M., Rea F.
Auditory perception for interactive robots: a cognitiveframework to include motor commands and working memory inthe process of auditory sound localization
ACM/IEEE International Conference on Human-Robot Interaction (HRI) {Sound in HRI workshop}
Conference
2020
Eldardeer O., Sandini G., Rea F.
A Biological Inspired Cognitive Model of Multi-sensory Joint Attention in Human Robot Collaborative Tasks
IEEE RO-MAN 2020: 29th IEEE International Conference on Robot & Human Interactive Communication
Conference
Awards and Achievements
2020
Eldardeer O., Sandini G., Rea F.
Best Paper Award in the AVHRC2020 workshop in ROMAN2020 Conference "A Biological Inspired Cognitive Model of Multi-sensory Joint Attention in Human Robot Collaborative Tasks"
Organized Events
2024
Belgiovine G., Garello L., Eldardeer O., Pasquali D.
A Curious Head: child-inspired cognitive architecture for robot’s autonomous learning.
2024
Cocchella F., Eldardeer O., Manca M., Matarese M., Rezzani A., Zedda E.
Robots for Humans (RfH)
Colleagues of COgNiTive Architecture for Collaborative Technologies
