Call for Papers | Flyer

The IEEE Robotics and Automation Society is committed to advancing diversity in Robotics and Automation, and to promoting an inclusive and equitable culture that welcomes, engages, and rewards all who contribute to the field, without regard to ethnicity, religion, gender, disability, age, national origin, sexual orientation, gender identity, or gender expression.

Topics of interest include, but are not limited to:

    Artificial Intelligence

    * AI architectures and applications
    Agents
    * Information retrieval and integration
    * Data mining
    * Computer vision and image reconstruction
    * Computer Games
    * Natural language processing
    * Knowledge-based systems
    * Probabilistic and uncertain reasoning
    * Expert systems
    * Fuzzy systems
    * Pattern recognition
    * Genetic algorithms
    * Particles swarm optimization
    * Neural network
    * Artificial life
    * Machine learning
    * Deep/Continual/Adversarial learning
    * Robust/Explainable decisions
    * Compostable AI systems
    * Domain specific hardware
    * Cloud-edge systems
    * Brain-computer interface
    * Cognitive mechanisms

    Intelligent Robotics

    * Robot design
    * Robot kinematics/dynamics/control
    * AI in robots
    * Sensor/actuator networks
    * Multi-sensor data fusion
    * Distributed and cloud robots
    * Bio-inspired robots
    * Service robots
    * Humanoid robots
    * Human-robot interaction
    * Medical robots (surgery, rehabilitation)
    * Autonomous land/underwater/aerial robots
    * Soft robotics and liquid metal robots
    * Robot perception/vision
    * Multi-finger manipulators
    * Micro/nano systems
    * Multimodal interface
    * Human-robot-environment interaction
    * Coexisting-cooperative-cognitive robots
    * Multi-robot systems/Swarm robot/Collaborative robots
    * Localization and navigation

    Control Engineering

    * Man-machine interactions
    * System integration
    * Nonlinear systems and control
    * Discrete event systems
    * Hybrid systems
    * Adaptive and robust control
    * Data/Event driven modeling and control
    * Networked control systems
    * Process control
    * Control of biological systems
    * Cooperative control
    * Multi-agent systems
    * Optimal control
    * Fault diagnosis
    * System identification
    * Intelligent Transportation Systems
    * Nano-scale automation and assembly
    * Power system control
    * Cyber physical systems
    * Factory modeling and simulation
    * Production planning, scheduling and control
    * Intelligent manufacturing
    * Embedded system and wireless sensor network
    * Computational intelligence in automation