Hybrid Conferencee

International Conference on Robotics Software Debugging with AI (ICRSDAI - 27)

9th - 10th January 2027 | Petropolis, Brazil
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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:
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Keynote Speaker Sessions:
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Best Paper & Best Paper Presentation Award:
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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 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
SDG 16
SDG 16 Peace, Justice and Strong Institutions
Track 01

Advancements in Robotics Software Debugging Techniques

This track focuses on the latest methodologies and tools for debugging software in robotic systems. Participants will explore innovative approaches that enhance the reliability and performance of robotics applications.

Track 02

Artificial Intelligence in Robotics: Debugging Challenges

This session addresses the unique debugging challenges posed by the integration of artificial intelligence in robotics. Discussions will center on AI-driven debugging techniques and their implications for system performance.

Track 03

Machine Learning for Enhanced Robotics Software Testing

This track examines the role of machine learning in automating and improving the software testing processes for robotic systems. Participants will share insights on leveraging ML algorithms to identify and resolve software defects.

Track 04

Perception Systems and Their Debugging Paradigms

Focusing on perception systems within robotics, this session will explore the debugging paradigms that ensure accurate environmental interaction. Experts will discuss techniques for validating and optimizing perception algorithms.

Track 05

Embedded Systems in Robotics: Debugging Strategies

This track delves into the specific challenges of debugging embedded systems in robotics. Presentations will highlight effective strategies for ensuring the robustness and functionality of these critical components.

Track 06

Optimization Techniques for Robotics Software Performance

Participants in this session will explore optimization techniques that enhance the performance of robotics software. The focus will be on debugging methods that facilitate efficient resource utilization and system responsiveness.

Track 07

Middleware Solutions for Robotics Software Integration

This track investigates the role of middleware in integrating various software components within robotic systems. Discussions will include debugging challenges and solutions associated with middleware architectures.

Track 08

Control Systems: Debugging and Validation Approaches

Focusing on control systems in robotics, this session will cover debugging and validation approaches that ensure system stability and performance. Participants will share best practices for testing control algorithms.

Track 09

Security Challenges in Robotics Software Debugging

This track addresses the security implications of debugging robotics software in an increasingly connected world. Experts will discuss vulnerabilities and strategies to safeguard robotic systems during the debugging process.

Track 10

Automation in Robotics Software Development and Debugging

This session will explore the role of automation in streamlining software development and debugging processes for robotics. Participants will discuss tools and frameworks that facilitate automated debugging.

Track 11

Real-World Applications of Robotics Software Debugging

This track highlights case studies and real-world applications of robotics software debugging techniques. Participants will gain insights into practical challenges and solutions encountered in various robotics domains.