Hybrid Conferencee

International Conference on AI-based Robotics Software Innovations and Trends (ICAR-SIT - 26)

5th - 6th August 2026 | Taichung City, Taiwan

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Taichung City conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Taichung City, 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 Taichung City."
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 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
Track 01

Advancements in AI Algorithms for Robotics

This track focuses on the latest developments in artificial intelligence algorithms specifically tailored for robotic applications. It aims to explore how these innovations enhance robotic perception, decision-making, and autonomy.

Track 02

Robotics Software Architecture and Design Patterns

This session will delve into effective software architecture and design patterns that facilitate the development of robust robotics systems. Participants will discuss best practices and innovative approaches to software engineering in robotics.

Track 03

Machine Learning Techniques in Robotics

This track examines the integration of machine learning techniques within robotic systems to improve learning, adaptation, and performance. Contributions will highlight case studies and applications that demonstrate the efficacy of these methods.

Track 04

Control Systems for Autonomous Robotics

Focusing on control systems, this session will explore methodologies that ensure stability and responsiveness in autonomous robots. Discussions will include feedback control, adaptive control, and their applications in real-world scenarios.

Track 05

Embedded Systems in Robotics

This track addresses the role of embedded systems in the design and implementation of robotic solutions. Topics will cover hardware-software co-design, real-time operating systems, and the challenges of resource constraints.

Track 06

Optimization Techniques for Robotic Systems

This session will focus on optimization techniques that enhance the efficiency and performance of robotic systems. Participants are encouraged to present novel algorithms and their applications in various robotic contexts.

Track 07

Middleware Solutions for Robotics Software Integration

This track will explore middleware solutions that facilitate seamless integration of diverse robotic software components. Discussions will include interoperability, communication protocols, and system scalability.

Track 08

Trends in Robotics Applications Across Industries

This session will highlight emerging trends in the application of robotics across various industries, including manufacturing, healthcare, and logistics. Contributions will showcase innovative use cases and the impact of AI on these sectors.

Track 09

Human-Robot Interaction and Collaboration

Focusing on the dynamics of human-robot interaction, this track will explore design principles that enhance collaboration between humans and robots. Topics will include user experience, safety, and the social implications of robotic integration.

Track 10

AI-Driven Robotics for Smart Automation

This session will discuss the role of AI in driving smart automation within robotic systems. Participants will present research on intelligent automation solutions that improve operational efficiency and adaptability.

Track 11

Ethical Considerations in AI and Robotics

This track will address the ethical implications of deploying AI and robotics technologies in society. Discussions will focus on accountability, transparency, and the societal impact of robotic innovations.