Hybrid Conferencee

International Conference on Robotics Engineering and Data Mining Techniques (ICREDMT - 26)

7th - 8th August 2026 | Melbourne, Australia
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Conference Brochure
Sample Full Paper
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Melbourne. 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 Melbourne 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 Melbourne conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Melbourne, 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 Melbourne."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICREDMT aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Mining, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Data mining for robotic perception systems
02
Machine learning in robotics applications
03
Big data challenges in robotic engineering
04
Data-driven approaches to robot control
05
Sensor technologies for robotic systems
06
Data visualization techniques for robotics data
07
Artificial intelligence in robotic applications
08
Data mining for autonomous navigation
09
Statistical methods in robotics research
10
Data mining for human-robot interaction
11
Integration of IoT in robotic systems
12
Data management for robotics projects
13
Data mining for robotic process automation
14
Trends in robotics engineering data analytics
15
Real-time data analysis for robotic systems
16
Data mining for swarm robotics applications
17
Cybersecurity in robotic systems data
18
Data-driven decision making in robotics
19
Data mining for robotic vision systems
20
Data mining for robotic manipulation strategies