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January 2027

CFP closes 21 Dec

International Conference on Robotics, Machine Learning and Artificial Intelligence

ICRMLAI 2027

International Conference on Robotics, Machine Learning and Artificial Intelligence is a 2-day event in Perth, Australia on 17–18 January 2027, organized by South Asian Research Center (SARC). Abstracts are due by 21 December 2026. Its call for papers covers Robotics Engineering, Robotics engineering and Applications of robotics, among other areas. South Asian Research Center (SARC) has 10 other upcoming conferences listed here.

Call for papers open

Important dates

  1. Abstract / full paper deadline

    In 36 days

  2. Conference

    Perth, Australia

All deadlines are as published by the organizer. Check the official website for the time zone.

About this conference

ICRMLAI aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of Mechanical and Industrial Engineering, and discuss the practical challenges encountered and the solutions adopted. The conference will be held every year to make it an ideal platform for people to share views and experiences in Robotics, Machine Learning and Artificial Intelligence related areas. Past Conference Highlights.

Listed in 3 cities

This conference was submitted for 3 cities. See the main listing and every listed location.

Topics and scope

  • Robotics Engineering
  • Robotics engineering
  • Applications of robotics
  • Applications of robotics, advantages and disadvantages
  • Current and common research projects
  • Innovations in robotics
  • Robotics and engineering applications
  • Kinematics, dynamics, and control
  • Dexterous manipulation
  • Locomotion, nonlinear control, and visual serving
  • Mechanisms of robots
  • Design, humanoids, hands, and legged system
  • Snakes, and novel actuators
  • Reconfigurable robots and mems/nems
  • Micro/nanobots, and novel sensors
  • Haptics and tactile interfaces
  • Planning and algorithms for robots
  • Motion planning, task planning, coordination, complexity and completeness
  • Computational geometry, simulation, and planning
  • Contact modeling, grasp synthesis, and assembly
  • Force control and manipulation planning
  • Human-robot interaction and human centered systems
  • Brain-machine interfaces, and telerobotics
  • Human augmentation, and assistive robots,
  • Social robots, safe interaction, robots and art
  • Grounded language acquisition
  • Natural language generation
  • Human-robot dialogue
  • Underwater robotics
  • Aerial/space robotics
  • Agricultural and mining robotics
  • Distributed systems
  • Multi-robot systems
  • Networked robots
  • Medical robotics
  • Robot-assisted procedures
  • Smart surgical tools
  • Rehabilitation robotics
  • Interventional therapy
  • Image-guided procedures
  • Surgical simulation
  • Soft-tissue modeling
  • Telesurgery
  • Biological robotics
  • Biomimetic robotics
  • Robotic investigation of biological science and systems
  • Neurobotics, prosthetics, robotics and molecular biology
  • Robot perception
  • Vision, tactile and force perception, and range sensing
  • Sensor fusion, calibration and identification
  • Mobile systems and mobility
  • Mapping, localization, navigation, slam
  • Collision avoidance, and exploration
  • Estimation and learning for robotic systems
  • Reinforcement learning
  • Bayesian techniques
  • Deep learning
  • Graphical models
  • Imitation learning
  • Deep and Reinforcement learning
  • Pattern recognition and classification for networks
  • Machine learning for network slicing optimization
  • Machine learning for 5G system
  • Machine learning for user behavior prediction
  • New innovative machine learning methods
  • Optimization of machine learning methods
  • Performance analysis of machine learning algorithms
  • Experimental evaluations of machine learning
  • Data mining in heterogeneous networks
  • Machine learning for multimedia
  • Machine learning for Internet of Things
  • Machine learning for security and protection
  • Distributed and decentralized machine learning algorithms
  • Intelligent cloud-support communications
  • Intelligent ressource allocation
  • Intelligent energy-aware/green communications
  • Intelligent software defined networks
  • Intelligent cooperative networks
  • Intelligent positioning and navigation systems
  • Intelligent wireless communications
  • Intelligent wireless sensor networks
  • Intelligent underwater sensor networks
  • Artificial Intelligence
  • AI Algorithms
  • Artificial Intelligence tools & Applications
  • Automatic Control
  • Bioinformatics
  • Natural Language Processing
  • CAD Design & Testing
  • Computer Vision and Speech Understanding
  • Data Mining and Machine Learning Tools
  • Fuzzy Logic
  • Heuristic and AI Planning Strategies and Tools
  • Computational Theories of Learning
  • Hybrid Intelligent Systems
  • Information Retrieval
  • Intelligent System Architectures
  • Knowledge Representation
  • Knowledge-based Systems
  • Mechatronics
  • Multimedia & Cognitive Informatics
  • Neural Networks
  • Parallel Processing
  • Pattern Recognition
  • Robotics
  • Semantic Web Techniques and Technologies
  • Soft computing theory and applications
  • Software & Hardware Architectures

Call for papers

Abstracts are due by 21 December 2026. Submission details are on the official website.

Where this information comes from

Source
Submitted by the organizer
Listed on
27 August 2026
Verification
Reviewed by an editor before publishing
Reference
FCA2764742

Questions about ICRMLAI 2027

When and where is ICRMLAI 2027?

17–18 January 2027 in Perth, Australia.

Can I attend online?

This listing does not confirm an online option. Check the official website.

What is the submission deadline?

Abstracts are due by 21 December 2026.

How do I register?

Registration and fees are handled by the organizer on the official website.

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