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International Conference on Evolutionary Robotics, Neuroscience, Neural Engineering

📅 17–18 Jun 2027 📍 Trincomalee, Sri Lanka 👤 Standard / Listener

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$150

virtual · $150 in person

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Supporting global researchConnect with researchers across 30+ countries

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the intersection of neurocybernetics and health, exploring innovative applications in medical diagnostics and treatment. Researchers are invited to present their findings on how neurocybernetic systems can enhance patient care and rehabilitation.

This session will delve into the latest advancements in neuroevolutionary algorithms and their applications in solving complex problems. Contributions that demonstrate the efficacy of these algorithms in real-world scenarios are particularly encouraged.

This track aims to explore the integration of neuroscience principles into robotic systems, focusing on how biological insights can inform robotic design and functionality. Papers that discuss the implications of neural mechanisms for robotic learning and adaptation are welcome.

This session will highlight the role of computational intelligence techniques in advancing neurological research and treatment. Submissions that showcase novel applications of machine learning and artificial intelligence in neurology are encouraged.

This track invites contributions on the design and implementation of evolutionary robotics, emphasizing the methodologies and technologies that enable autonomous robotic systems. Papers that present case studies or experimental results are particularly sought after.

This session will focus on the application of artificial neural networks in the field of medical diagnostics, exploring their potential to improve accuracy and efficiency. Researchers are encouraged to share their findings on network architectures and training methodologies.

This track will examine the mechanisms of robotic learning and adaptation, highlighting how robots can learn from their environments and experiences. Contributions that explore novel learning algorithms and their applications in dynamic settings are welcome.

This session will explore the field of developmental robotics, focusing on how robots can develop skills through interaction with humans and their environments. Papers that investigate the implications of developmental approaches for social robotics are encouraged.

This track will discuss the concept of artificial life and its potential applications in medical research and healthcare. Submissions that explore the implications of artificial life systems for understanding biological processes are particularly welcome.

This session will focus on the development of intelligent machines that incorporate principles of neuroengineering, emphasizing their potential to enhance human capabilities. Contributions that discuss the ethical implications and societal impacts of these technologies are encouraged.

This track will explore the use of genetic algorithms for optimizing neural systems, focusing on their applications in both theoretical and practical contexts. Researchers are invited to present innovative approaches that demonstrate the effectiveness of genetic algorithms in neural engineering.