Hybrid Conferencee

International Conference on Autonomous Robotics using Machine Learning (ICARML - 27)

13th - 14th May 2027 | Glasgow, UK
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

Journal consideration and publication are subject to editorial review, peer review and applicable journal policies.

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 Glasgow. 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 Glasgow 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 Glasgow conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Glasgow, 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 Glasgow."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICARML 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 Machine Learning, 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
Machine learning for robotic perception
02
Autonomous navigation algorithms
03
Human-robot interaction techniques
04
Machine learning for robotic control
05
Sensor integration in robotics
06
Robotics applications in healthcare
07
Collaborative robotics and machine learning
08
Robotic learning from demonstration
09
Machine learning for swarm robotics
10
Safety and ethics in robotics
11
Machine learning for robotic manipulation
12
Real-time decision making in robotics
13
Robotic vision systems using ML
14
Machine learning for autonomous drones
15
Robotics in industrial automation
16
Future trends in robotics technology
17
Machine learning for agricultural robotics
18
Data-driven approaches in robotics
19
Robotics for disaster response
20
Machine learning for robotic path planning