An official invitation letter will be provided upon successful registration for your participation in the conference.
학술대회 참가 등록이 정상적으로 완료되면 공식 초청장이 발급됩니다.
Plenary, keynote and parallel sessions.
전체회의, 기조연설 및 분과 세션.
Connect with fellow researchers.
동료 연구자들과의 교류.
Digital certificate of participation.
디지털 참가 증명서 발급.
Official letter after successful registration.
등록 완료 후 공식 초청장 발급.
E-proceedings & resource materials.
전자 논문집 및 참고 자료.
Learn from leading experts & scholars.
저명한 전문가 및 학자들의 강연.
The conference's session tracks effectively support the following SDGs.
본 학술대회의 세션 트랙은 다음의 지속가능발전목표를 효과적으로 지원합니다.
This track explores the latest developments in artificial intelligence technologies that enhance robotic capabilities. Topics may include machine learning algorithms, perception systems, and decision-making processes in autonomous robots.
This session focuses on methodologies and practices for managing the software lifecycle in robotics applications. Emphasis will be placed on best practices for software development, testing, and deployment in robotic systems.
This track delves into the design and implementation of automation and control systems for robotic applications. Participants will discuss innovative control strategies and their impact on robotic performance and reliability.
This session highlights the role of embedded systems in the development of intelligent robotic solutions. Topics include hardware-software co-design, real-time processing, and the integration of sensors and actuators.
This track addresses optimization strategies for improving the efficiency and performance of robotics software. Discussions will cover algorithmic optimizations, resource management, and performance benchmarking.
This session focuses on middleware technologies that facilitate the integration of various components in robotic systems. Participants will explore communication protocols, data management, and interoperability challenges.
This track examines methodologies for testing and validating robotic systems to ensure reliability and safety. Topics include simulation-based testing, formal verification, and real-world testing scenarios.
This session explores the application of machine learning techniques in enhancing robotic functionalities. Participants will discuss case studies and innovative approaches to training robots for complex tasks.
This track focuses on the development of perception systems that enable robots to understand and interact with their environment. Topics include sensor fusion, computer vision, and environmental mapping.
This session highlights the impact of robotics in the context of Industry 4.0, emphasizing automation and smart manufacturing. Discussions will cover real-world applications and the integration of AI in industrial robotics.
This track looks ahead to emerging trends and technologies in AI and robotics software engineering. Participants will explore the implications of advancements in AI, robotics, and software methodologies for future developments.