International Conference on Computational Robotics, Testing and Engineering Evaluation – ICCRTEE 2025
International Conference on Computational Robotics, Testing and Engineering Evaluation – ICCRTEE 2025
Computational robotics and testing techniques have emerged as crucial tools that harness the power of artificial intelligence to revolutionize how we evaluate and validate robotic systems. These advanced methodologies enable comprehensive testing frameworks that span software verification, hardware validation, and system-wide performance assessment, providing robust solutions for the complex challenges in modern robotics engineering
The Kalasalingam Academy of Research and Education is organizing the International Conference on “Computational Robotics, Testing and Engineering Evaluation” ICCRTEE 2025 Technically Co-Sponsored by IEEE Madras Section. The objective of this conference is to bring together researchers, industry professionals, and academics to share cutting-edge developments in AI-driven robotics testing and evaluation methodologies. The conference will feature paper presentations, keynote speeches, and expert talks from leading professionals in robotics and AI. Accepted papers will be considered for publication in IEEE Xplore, subject to meeting IEEE’s scope and quality requirements.
Scope:
The conference aims to explore the application of artificial intelligence, machine learning, and deep learning techniques for testing, evaluating, and validating robotic systems. It covers the development and implementation of data-driven models, algorithms, and frameworks for various aspects of robotics testing, including software testing, hardware testing, system integration testing, performance evaluation, safety analysis, and reliability assessment. The scope also encompasses the use of AI and ML for simulation, modeling, and verification of robotic systems. So, this is our motive for the International Conference on Computational Robotics, Testing and Engineering Evaluation – ICCRTEE 2025: to advance the application of AI, machine learning, and deep learning techniques in testing, evaluating, and validating robotic systems, with a focus on developing data-driven models, algorithms, and frameworks for comprehensive robotics testing and performance assessment.
Tracks:
- Artificial Intelligence and Machine Learning
- Computing and processing
- Robotics and control systems
- Signal Processing and analysis.
Date and Time
Location
Hosts
Registration
- Start time: 28 May 2025 06:08 PM UTC
- End time: 30 May 2025 06:10 PM UTC
-
Add Event to Calendar