IEEE International Conference on Robotic Computing (IRC) 2023

December 11-13, 2023

The Hills Hotel, Laguna Hills, California

Format: hybrid (in person/virtual)

For more information: https://www.ieee-irc.org/

### Important dates ###

 – Workshop Proposal Deadline: August 1, 2023 PT

 – Paper Submission Deadline: September 1, 2023 PT

 – Workshop Proposal Acceptance: September 1, 2023 PT

 – Notification of Paper Acceptance: October 1, 2023 PT

 – Workshop Paper Submission Deadline: October 15, 2023 PT

 – Camera Ready and Registration Deadline: November 1, 2023 PT

### Topics of interest ###

Robotic Computing (RC) addresses the synergetic interaction of computing technologies and robotic technologies. The synergy between Robotics and Computer Science is both realistic and strategic. Their mutual benefit is to make it possible to build and evolve new robotic systems, to reduce their development cost, and to enhance their quality.

Topics related to Computer Science:

 – Formal methods for analysis and design

 – Software architectures

 – Middleware infrastructures

 – Model-driven engineering

 – Component-based engineering

 – Software product line engineering

 – Data, ontology, and knowledge engineering

 – Autonomic computing

 – Natural language understanding

 – Service oriented computing

 – Cloud computing

 – Semantic computing

 – Multimedia computing

 – Internet of Things

 – Virtual reality

 – Computer security

Topics related to Robotics:

 – RAMS abilities of robotic systems

 – Hardware modeling and abstraction

 – Resource awareness

 – Sensor fusion, integration

 – Place recognition, localization

 – Object recognition, tracking

 – Scene interpretation

 – Robot cognition

 – Manipulation, grasping

 – Robot kinematics, dynamics

 – Motion planning, control

 – Navigation

 – Task planning, monitoring

 – Human-robot Interaction

 – Robot simulation

 – Multi-robot systems

The Conference is also inviting innovative contributions that discuss the future of the field including, but not limited to:

 – What are the challenges to robotic computing?

 – What are the main unresolved theoretical and/or methodological controversies?

 – What are the stakeholders' (e.g., industries, public bodies, educators) research and development problems?

 – What can be learned from other disciplines and what can they learn from robotic computing?

 – What is the real world experience of Robotic Computing over the past 10 years, and how might it continue to evolve as we look toward the next decade?

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Regards,

Riccardo Monica

Robotics and Intelligent Machines Laboratory

Department of Engineering and Architecture