International Conference on Machine Learning in Robotics Software

ICMLRSS

21st Jan – 22nd Jan 2027 Naples, Italy

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Registration Summary

Conference ICMLRSS

Date 21st Jan – 22nd Jan 2027

Location Naples, Italy

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advancements in Machine Learning for Robotics +

This track focuses on the latest developments in machine learning techniques specifically tailored for robotic applications. Researchers are invited to present novel algorithms that enhance robotic perception, decision-making, and autonomy.

SDG 9 SDG 4

02 AI Algorithms for Control Systems in Robotics +

This session explores innovative AI algorithms that improve control systems within robotic frameworks. Contributions should emphasize the integration of machine learning with traditional control methodologies to enhance system performance.

SDG 9 SDG 4

03 Software Engineering Practices for Robotics Development +

This track addresses best practices in software engineering specifically for robotics applications. Papers should discuss methodologies that ensure robustness, maintainability, and scalability in robotic software systems.

SDG 9 SDG 11

04 Automation and Optimization in Robotic Systems +

This session highlights research on automation techniques and optimization strategies in robotics. Contributions should demonstrate how machine learning can be leveraged to enhance operational efficiency and resource management.

SDG 9 SDG 12

05 Middleware Solutions for Robotics Integration +

This track focuses on middleware architectures that facilitate the integration of diverse robotic components. Papers should explore how these solutions enable interoperability and streamline communication between systems.

SDG 9 SDG 17

06 Embedded Systems in Robotics: Challenges and Solutions +

This session examines the role of embedded systems in robotic applications, focusing on the unique challenges they present. Researchers are encouraged to present innovative solutions that enhance the performance and reliability of embedded robotic systems.

SDG 9 SDG 12

07 Perception Systems in Robotics: Machine Learning Approaches +

This track investigates the application of machine learning techniques to improve perception systems in robotics. Contributions should focus on advancements in sensor fusion, object recognition, and environmental understanding.

SDG 9 SDG 11

08 Testing and Validation of Robotic Software +

This session addresses the critical aspects of testing and validating software used in robotic systems. Papers should present novel methodologies and frameworks that ensure the reliability and safety of robotic applications.

SDG 9 SDG 16

09 AI-Driven Robotics Frameworks and Architectures +

This track explores the design and implementation of AI-driven frameworks for robotics. Contributions should discuss how these architectures can support complex robotic functionalities and enhance system adaptability.

SDG 9 SDG 11

10 Human-Robot Interaction: AI and Robotics +

This session focuses on the intersection of artificial intelligence and human-robot interaction. Researchers are invited to present studies that enhance the usability and effectiveness of robots in collaborative environments.

SDG 9 SDG 17

11 Future Trends in Robotics Software Development +

This track looks ahead to emerging trends in robotics software development influenced by machine learning and AI. Contributions should provide insights into future challenges and opportunities within the field.

SDG 9 SDG 11