ICAR 2023

Overview

The design of robots that interact autonomously with the environment and exhibit complex behaviors is an open challenge that can benefit from understanding what makes living beings fit to act in the world. Neuromorphic engineering studies neural computational principles to develop technologies that can provide a computing substrate for building compact and low-power processing systems. In this workshop we aim to discuss why endowing robots with neuromorphic technologies – from perception to motor control – represents a promising approach for the creation of robots which can seamlessly integrate in society. Highlighting open challenges in this direction, we propose community participations and actions required to overcome current limitations.

Aim and Scope

The workshop aims to deploy neuromorphic AI for efficient robotic autonomy. Neuromorphic circuits enable unique autonomous agents with embodied AI, interacting effectively with their environment. Embodied AI allows robots to adapt in various conditions while efficiently using resources. Conventional methods fall short in comparison to human-like embodied AI in tasks like navigation and motor control. A key to intelligent behavior is processing data on multiple timescales. This multi-scale approach supports immediate perception, hierarchical information extraction, and long-term learning. Traditional methods with high precision and external memory have higher power consumption and resource requirements compared to biological neural networks. Neuromorphic engineering uses mixed signal hardware to implement bio-inspired neural computation, different from traditional architectures. It's energy-efficient and compact, suitable for robot intelligence. Challenges include integrating neuromorphic chips with sensors, computing, and motors, programming neural systems on chips, and establishing a framework for neural-based computational primitives.

Keywords/Topics of Interest

Neuromorphic Sensing
Spiking Neural Networks
Bio-inspired Robotics
Neural Computation
Sensorimotor Integration
Embodied Cognition
Machine Learning for Robotics
Artificial Intelligence in Robotics
Neural Control Systems
Robotic Perception
Human-Robot Interaction

Organizing Committee

Dr. Fakhreddine Zayer

Khalifa University Center for Robotics and Autonomous Systems (KUCARS), Khalifa University

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Prof. Jorge Dias

Khalifa University Center for Robotics and Autonomous Systems (KUCARS), Khalifa University

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Dr. Mario Molinara

Head of Artificial Intelligence and Data Analysis Lab,University of Cassino and Southern Lazio

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Prof. Naoufel Werghi

Khalifa University Center for Robotics and Autonomous Systems (KUCARS), Khalifa University

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Prof. Muhammad Shafique

Professot of Computer Engineering, NYU

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Important Dates

Abstract Submission Deadline:
06 November 2023

Acceptance Notification:
09 November 2023

Workshop date :
05 December 2023

Khalifa University

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09:00-09:15	Welcome & Introduction	Dr. Fakhreddine Zayer/ Prof. Jorge Dias
09:15–09:40	Invited Talk 1	Prof. Jorge Dias	Title: Robotic perception challenges and neuromorphic computing opportunities
09:40–10:05	Invited Talk 2	Prof. Baker Mohammed	Title: Intelligent Memory for Efficient Hardware Accelerator
10:05–10:35	Poster Pitch I		(10 poster presentations)
10:35-11:10	Coffee Break
11:10-11:35	Invited Talk 3	Prof. Guido de Croon	Title: Neuromorphic vision and control for autonomous drone flight
11:35-12:00	Invited Talk 4	Prof. Chiara Bartolozzi	Title: Event-driven sensing and neuromorphic processing to endow robots with improved energetic and behavioral autonomy
12:00-12:30	Poster Pitch II		(10 poster presentations)
12:30-14:00	Lunch Break
14:10-14:35	Invited Talk 5	Prof. Davide Scaramuzza	Title: Neuromorphic Optical Flow and Real-time Implementation with Event Cameras
14:35-15:00	Invited Talk 6	Prof. Muhammad Shafique	Title: Neuromorphic architecture optimization for autonomous agents
15:00-15:30	Poster Pitch III		(10 poster presentations)
10:35-11:10	Coffee Break
16:00-16:50	Round Table Discussion	Chair: Prof. Muhammad Shafique and Prof. Jorge Dias Guests: Prof. Davide Scaramuzza, Prof. Chiara Bartolozzi, Prof. Guido de Croon Prof. Baker Mohammed
16:50-17:10	ADNOC/NineHertz/Fusion Informatics/Reliable robotics Representative: Awards Session
17:10-17:20	Closing Remarks	Prof. Jorge Dias

Name:
Prof. Jorge Dias

Designation:
Professor in Department of Computer Science and Electrical Engineering, Center for Robotics and Autonomous Systems (KUCARS),
Khalifa University

Webpage:
jorgedias.eu

Name:
Prof. Baker Mohammed

Designation:
Professor in Department of Electrical Engineering And Computer Science, Khalifa University, Director, System-on-Chip Center.

Webpage:
www.ku.ac.ae/college-people/baker-mohammad

Name:
Prof. Guido de Croon

Designation:
Professor in Department of Control and Operations (C&O) ,
Delft University of Technology

Webpage:
www.tudelft.nl/en /staff/g.c.h.e.decroon

Name:
Prof. Chiara Bartolozzi

Designation:
Senior Researcher Tenured - Principal Investigator in Event-Driven Perception for Robotics, Italian Institute of Technology,
University of Genova

Webpage:
www.iit.it/people-details/- /people/chiara-bartolozzi

Name:
Prof. Davide Scaramuzza

Designation:
Professor of Robotics at the University of Zurich

Webpage:
rpg.ifi.uzh.ch/ people_scaramuzza.html

Name:
Prof. Muhammad Shafique

Designation:
Professor of Computer Engineering,
New York University

Webpage:
nyuad.nyu.edu/en/academics/divisions/ engineering/faculty/muhammad-shafique.html

Join Us at the ICAR 2023 Workshop– Call for Late-Breaking Abstracts!

Are you conducting groundbreaking research in the field of neuromorphic engineering and robotics? If so, we invite you to be a part of our exciting workshop, Embodied Neuromorphic AI for Robotic Perception, where we delve into the intersection of neuromorphic technologies and robotics to explore new horizons in autonomous systems.

Abstract Submission Details:

We welcome extended abstract submissions (maximum 2 pages) of late-breaking results or newly published papers.
Your abstract should encompass text, figures, and references and must be submitted in PDF format.
Abstract Submission Deadline: November 06, 2023
Acceptance Notification: November 09, 2023

submission template

Poster Presentation and On-Stage Opportunity:

All accepted extended abstracts will be demonstrated in the format of posters during the workshop.
Additionally, one author of each accepted abstract will have the opportunity to give a 2-minute on-stage presentation.
The 2-page extended abstract for selected submissions will be made available on this workshop webpage.

Poster Guidelines:

Poster boards are 950mm wide x 2340mm high. We recommend going no larger than A0 in portrait orientation.
Please print your poster in advance and bring it to the workshop.

Publication Disclaimer:

The authors still retain the copyrights for their submissions, which means that the author has full control over the work (e.g., retains the right to republish to conferences/journals, reuse, etc.).

Why Participate?

Showcase your latest research findings to a dynamic and engaged community.
Connect with fellow researchers, experts, and enthusiasts in the field.
Explore the potential of neuromorphic technologies for creating autonomous and socially integrated robots.
Discuss and address open challenges and chart the future of this exciting field.

Exciting Publication Opportunity! In addition to participating in our workshop, we're thrilled to extend an invitation to authors interested in publishing their research in a special issue of Frontiers in Robotics and AI. This special issue, titled "Embodied Neuromorphic AI for Robotic Perception," provides a unique platform to share your work with a wider audience and contribute to the advancement of this field.

Submission Link

Don't miss this chance to be part of a dynamic community and showcase your research on the cutting edge of neuromorphic engineering and robotics. Join us at Embodied Neuromorphic AI for Robotic Perception and contribute to the future of autonomous systems!

For any inquiries or assistance, please contact Dr. Fakhreddine Zayer. Fakhreddine.zayer@ku.ac.ae

We look forward to your participation and contributions!

Submit your abstract for the Workshop clicking here

Submit your abstract for Frontiers in Robotics and AI Journal by clicking here

ADNOC

Founded in 1971, ADNOC is a leading diversified energy group, wholly owned by the Abu Dhabi Government. Our network of fully integrated businesses operates across the energy value chain, helping us to responsibly meet the demands of an ever-changing energy market. Already in the top tier of the lowest carbon intensity oil and gas producers in the world, we are taking significant steps to make today’s energy cleaner while investing in the clean energies of tomorrow, strengthening our position as a reliable and responsible global energy provider. We are allocating an initial $15 billion to advance and accelerate lower-carbon solutions, investing in new energies and decarbonization technologies to enable our net zero by 2045 ambition and our commitment to zero methane emissions by 2030.

NineHertz

The NineHertz is a leading Artificial Intelligence company in UAE. With expertise in AI-driven solutions, it offer innovative and cutting-edge services to businesses, harnessing the power of AI for enhanced efficiency, automation, and intelligent decision-making. Experience the future of technology with our AI solutions.

Fusion Informatics

Fusion Informatics one of the renowned AI development company in UAE the main focus of bringing AI visions into reality. Their AI Developers have expertise in AI analytics, Data Science, Designing, and development, making them one of the best in the industry. Fusion Informatics also leverages AI techniques like Machine Learning and NLP to help their clients’ businesses stand out from their competition and maintain a lead in the industry.

Reliable Robotics LLC

Reliable Robotics LLC is Middle East’s leading Robotics & AI company founded in 2018 headquartered in Dubai, UAE. We are at the forefront of developing technologies in the areas of Robotics & AI. We seek to build an ecosystem of robots and technologies to enable smart services in airports, banking, hospital, educational sectors through applied innovation, internal initiatives, and by building strategic external partnerships.