Hybrid Conferencee

International Conference on Machine Learning in Robotics Software (ICMLRSS - 26)

11th - 12th July 2026 | Hiroshima, Japan
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Conference Brochure
Sample Full Paper
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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 Hiroshima. 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 Hiroshima 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 Hiroshima conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Hiroshima, 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 Hiroshima."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMLRSS 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 Artificial Intelligence,Robotics,Software Engineering, 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 algorithms for robotics
02
Deep learning in robotic perception
03
Reinforcement learning for robot control
04
Data-driven robotics software development
05
Transfer learning in robotic applications
06
Machine learning for robotic manipulation
07
AI-driven simulation for robotics
08
Robustness of ML models in robotics
09
ML techniques for robotic vision systems
10
Collaborative learning in robotics software
11
Machine learning for autonomous navigation
12
Real-time learning in robotic systems
13
Ethics of machine learning in robotics
14
ML frameworks for robotic software
15
Scalable machine learning in robotics
16
Interpretable machine learning in robotics
17
Federated learning for robotics applications
18
ML for adaptive robotic systems
19
Benchmarking ML algorithms in robotics
20
Future directions in ML for robotics