• 3rd International Conference on Computational Vision and Robotics (ICCVR 2025)

WELCOME TO ICCVR 2025

With the rapid development of technology, computational vision and robotics, as the dual-core driving forces, are driving technological advancement and industrial change at an unprecedented rate in the field of artificial intelligence. Computational vision technology can give machines the ability to "see" so that they can accurately identify, understand and respond to the surroundings.; while robotics technology gives machines the ability to act autonomously and perform tasks efficiently.


The convergence of computational vision and robotics creates a significant synergistic effect, profoundly transforming the development trajectory of numerous industries, including healthcare, security, autonomous driving, retail e-commerce, industrial automation, agriculture, and logistics. This integration has led to remarkable enhancements in efficiency, accuracy, and safety across these fields. The advancement of computational vision and robotics technology is steering human society towards a more intelligent and automated future, providing us with unlimited possibilities for building an intelligent society.


The main objective of ICCVR 2025 pertaining to bring together researchers, academicians, students, users, developers  from the diverse fields of engineering, computer science, social and bio-medical science who contributed in the context of Computer Vision and Robotics to confer the urgency in adopting the radical dynamics of automation and intelligent cognition effectively and efficiently. The researchers will get the opportunity to represent and share their work along with emphasizing various applications in key functional areas with discussion among the best of brains across the world.


Paper Template   Submit Now

Important Dates

Submission Open: 15th December, 2024

Submission Due to: 20th May 30th June, 2025

Notification Date: 24th July, 2025

Registration Deadline: 24th July, 2025

Conference date: 23rd-24th, August 2025

History

ICCVR 2024 View Details
Proceedings of the International Conference on Computational Vision and Robotics ICCVR 2024 are being published in Learning and Analytics in Intelligent Systems (LAIS, volume 47).

ICCVR 2023 View Details
All accepted and presented papers of ICCVR 2023 have been successfully published in Springer Book Series: Learning and Analytics in Intelligent Systems (Volume 33) and indexed by Ei Compendex.

EI Compendex Index

SUBMISSION GUIDELINES

Submissions must present original, unpublished work closely related to the core themes of computer vision, robotics, and intelligent systems. Papers should clearly demonstrate relevance and contributions to these areas. 

  • Computational models of data from natural learning systems at the behavioral or neural level.

  • Novel algorithms with empirical, theoretical, or biologically inspired foundations, especially those applied to visual perception, robotic control, or intelligent systems.

  • Experimental or theoretical studies that deepen understanding of learning processes in vision or robotic environments.

  • Evaluations of existing methods providing insights into their performance, strengths, and limitations in vision- or robotics-related contexts.

  • Definition of new tasks or applications, including suitable metrics or benchmarks for evaluation.

  • Analytical or theoretical frameworks supporting or extending learning methods in computer vision or robotics.

  • Computational models of behavioral or neural data from natural systems, with clear implications for artificial vision, intelligent control, or embodied robotics.

  • High-quality survey papers offering structured and comprehensive insights relevant to the field.

Papers must clearly articulate their relevance to computer vision and robotics. Submissions without a clear connection to these domains may not be considered for review.


Call for Paper

3D vision and perception,
AI and deep learning application in computer vision,
Alternative eyes,
Architecture and languages,
Artificial neural networks,
Biological vision,
Computational geometry,
Computational intelligence in vision
Innovative uses of various graphic and vision devices and systems,
Intelligent sensors and actuators,
Interactive computational models,
Learning classifiers,
Machine vision,
Mathematical approaches to image processing, analysis, and synthesis,
Medical imaging,
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