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Call For Paper

ICRMLAI - Call For Paper

ICRMLAI is the premier forum for the presentation of new advances and research results in the fields of Robotics, Machine Learning and Artificial Intelligence. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

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

Machine 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

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