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Call for Paper

The ICARPPSS emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Artificial Intelligence,Robotics,Software Engineering are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

01
AI techniques for robotic perception
02
Sensor fusion methods in robotics
03
Machine learning for perception systems
04
AI-driven vision systems for robots
05
Robustness of perception algorithms in robotics
06
Real-time perception in robotic applications
07
Perception challenges in autonomous robots
08
AI-enhanced sensory data processing
09
Collaborative perception in robotic systems
10
Perception for human-robot interaction
11
AI applications in robotic localization
12
Perception algorithms for robotic navigation
13
Future trends in robotic perception systems
14
AI for environmental perception in robotics
15
Data-driven approaches to robotic perception
16
Ethics of AI in robotic perception
17
Perception systems for service robots
18
Robust perception in dynamic environments
19
AI for multi-modal perception in robotics
20
Benchmarking perception algorithms in robotics

All submissions will undergo peer review to ensure quality and interdisciplinary relevance.

Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

👉 Register Now

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

👉 Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.