Hybrid Conferencee

International Conference on Autonomous Systems with Machine Learning (ICASML - 27)

10th - 11th February 2027 | Jakarta Raya, Indonesia
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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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 Jakarta Raya. 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 Jakarta Raya 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 Jakarta Raya conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Jakarta Raya, 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 Jakarta Raya."
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 Reinforcement Learning for Autonomous Systems

This track focuses on innovative reinforcement learning techniques that enhance the decision-making capabilities of autonomous systems. Contributions may include novel algorithms, applications in robotics, and case studies demonstrating real-world effectiveness.

Track 02

Deep Learning Approaches in Robotics and Automation

This session explores the integration of deep learning methodologies in robotics and automation systems. Papers may address challenges and solutions in perception, control, and human-robot interaction.

Track 03

Sensor Fusion Techniques for Enhanced Autonomous Navigation

This track emphasizes the role of sensor fusion in improving the navigation and perception capabilities of autonomous systems. Submissions should present novel methods that integrate data from multiple sensors to enhance situational awareness.

Track 04

Adaptive Control Strategies in Intelligent Agents

This session investigates adaptive control mechanisms that enable intelligent agents to respond dynamically to changing environments. Papers should highlight theoretical advancements and practical applications in various autonomous systems.

Track 05

Predictive Modeling for Autonomous Decision Making

This track focuses on the development of predictive modeling techniques that support real-time decision-making in autonomous systems. Contributions may include statistical methods, machine learning models, and their applications in complex environments.

Track 06

Swarm Intelligence and Collective Behavior in Robotics

This session delves into swarm intelligence principles and their application in the coordination of multiple robotic agents. Papers should explore algorithms, simulations, and case studies that demonstrate collective behavior in autonomous systems.

Track 07

AI-Driven Automation in Industrial Applications

This track highlights the integration of AI technologies in automating industrial processes and systems. Submissions should discuss the impact of machine learning on efficiency, safety, and productivity in various sectors.

Track 08

Anomaly Detection Techniques in Autonomous Systems

This session addresses the critical issue of anomaly detection in autonomous systems, focusing on methods that ensure reliability and safety. Papers should present novel approaches that enhance the robustness of intelligent agents.

Track 09

Environment Perception and Understanding for Autonomous Navigation

This track emphasizes advancements in environment perception techniques that facilitate autonomous navigation. Contributions may include sensor technologies, algorithms for scene understanding, and applications in real-world scenarios.

Track 10

Simulation and Modeling of Autonomous Systems

This session explores the role of simulation and modeling in the development and testing of autonomous systems. Papers should discuss methodologies, tools, and case studies that illustrate the importance of simulation in system validation.

Track 11

Human-Robot Interaction: Challenges and Innovations

This track focuses on the evolving field of human-robot interaction, addressing both theoretical and practical challenges. Contributions may include user studies, interaction design, and innovative solutions that enhance collaboration between humans and robots.