Hybrid Conferencee

International Conference on Robotics Software Engineering with AI (ICRSEAI - 26)

18th - 19th November 2026 | Perth, Australia

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Perth. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Perth conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Perth, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Perth."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Robotics Software Engineering

This track focuses on the latest methodologies and frameworks in robotics software engineering. It aims to explore innovative approaches that enhance the development and deployment of robotic systems.

Track 02

Artificial Intelligence in Robotics Applications

This session will delve into the integration of artificial intelligence within robotic applications. Papers will discuss case studies and novel AI techniques that improve robotic functionalities and decision-making.

Track 03

Machine Learning Techniques for Robotics

This track emphasizes the role of machine learning in advancing robotic capabilities. Contributions will highlight algorithms and models that enable robots to learn from their environments and experiences.

Track 04

System Design and Architecture for Robotics

This session addresses the critical aspects of system design and architecture in robotics. It will cover best practices and innovative designs that facilitate the integration of various robotic components.

Track 05

Automation and Control Systems in Robotics

This track explores the development and implementation of automation and control systems in robotic applications. Papers will examine techniques that enhance the precision and reliability of robotic operations.

Track 06

Perception Systems for Intelligent Robotics

This session focuses on perception systems that enable robots to interpret and interact with their surroundings. Contributions will discuss advancements in sensor technologies and data processing techniques.

Track 07

Middleware Solutions for Robotic Systems

This track investigates middleware solutions that facilitate communication and interoperability among robotic components. Papers will highlight frameworks that enhance system integration and performance.

Track 08

Optimization Techniques in Robotics Software

This session will cover optimization strategies aimed at improving the efficiency of robotics software. Contributions will discuss algorithmic advancements that lead to better resource management and performance.

Track 09

Embedded Systems in Robotics

This track focuses on the role of embedded systems in the development of robotic technologies. Papers will explore hardware-software co-design and the challenges of integrating embedded solutions in robotics.

Track 10

AI Algorithms for Robotic Control

This session emphasizes the development of AI algorithms specifically tailored for robotic control systems. Contributions will discuss innovative approaches that enhance the adaptability and responsiveness of robots.

Track 11

Robotics Software Testing and Validation

This track addresses the critical need for testing and validation in robotics software engineering. Papers will explore methodologies that ensure the reliability and safety of robotic systems in real-world applications.