Hybrid Conferencee

International Conference on AI in Data Science and Robotics (ICAIDSR - 26)

31st - 1st January 2027 | Dubai, UAE

10% DISCOUNT

Maximum discount capped at $30. Activate your Scholarly Discount during the payment phase to lower your final checkout amount.

REVEAL OFFER
EARLY10
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Dubai. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Dubai event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Dubai conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Dubai, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Dubai."
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 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Intelligent Control Systems

This track focuses on the latest developments in intelligent control systems leveraging artificial intelligence. Researchers are invited to present innovative algorithms and frameworks that enhance the performance and adaptability of robotic systems.

Track 02

Machine Learning Applications in Robotics

This session highlights the integration of machine learning techniques in robotic applications. Contributions may include novel approaches to training robots for complex tasks through supervised, unsupervised, and reinforcement learning.

Track 03

Data Science Techniques for Robotics

This track explores the role of data science in enhancing robotic capabilities. Papers should address methodologies for data collection, processing, and analysis that improve robotic decision-making and performance.

Track 04

Robotic Perception and Computer Vision

This session delves into advancements in robotic perception, particularly through machine vision technologies. Researchers are encouraged to share insights on algorithms that enable robots to interpret and interact with their environments effectively.

Track 05

Autonomous Navigation and Motion Planning

This track focuses on the challenges and solutions in autonomous navigation and motion planning for robots. Contributions should discuss innovative strategies that enable robots to navigate complex environments safely and efficiently.

Track 06

Human-Robot Interaction and Collaboration

This session examines the dynamics of human-robot interaction and the development of collaborative robots. Papers should explore frameworks that enhance communication and cooperation between humans and robots in various settings.

Track 07

Reinforcement Learning in Robotics

This track is dedicated to the application of reinforcement learning techniques in robotic systems. Researchers are invited to present studies that demonstrate how reinforcement learning can improve robotic autonomy and learning efficiency.

Track 08

Robotics Data Analytics and Insights

This session focuses on the application of data analytics in the field of robotics. Contributions should highlight how data-driven insights can optimize robotic performance and inform design decisions.

Track 09

Adaptive Robotics and Learning Algorithms

This track addresses the development of adaptive robotics systems that can learn and evolve over time. Papers should discuss algorithms that enable robots to adjust their behaviors based on environmental feedback.

Track 10

Industrial Robotics: Innovations and Applications

This session explores the latest innovations in industrial robotics and their applications across various sectors. Researchers are encouraged to present case studies that demonstrate the impact of AI and data science on industrial automation.

Track 11

Collaborative Robots: Design and Implementation

This track focuses on the design, implementation, and evaluation of collaborative robots in real-world scenarios. Contributions should address the technical and ethical considerations involved in deploying collaborative robots in diverse environments.