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:
| * Advanced machine learning paradigms * AI architectures and applications * AI-Generated content moderation and verification * AI-specific hardware * Brain-computer interface * Composable AI systems * Computer vision * Deep/continual/adversarial learning |
* Deepfake technology and detection * Ethical and responsible AI * Generative adversarial networks * Generative AI for Image and vdeo synthesis * Generative AI tools and applications * Genetic algorithms * Large language models * Meta/transfer/federated learning |
* Natural language generation * Natural language processing (NLP) * Novel AI applications * Particles swarm optimization * Quantum AI * Robust/explainable decisions * Variational autoencoders |
| * AI in robots * Autonomous land/underwater/aerial robots * Bio-inspired robots * Coexisting-cooperative-cognitive robots * Distributed and cloud robots * Humanoid robots * Human-robot interaction |
* Human-robot-environment interaction * Localization and navigation * Medical robots (surgery, rehabilitation) * Micro/nano systems * Multi-finger manipulators * Multimodal interface * Multi-robot systems/Swarm robot/Collaborative robots |
* Multi-sensor data fusion * Robot design * Robot kinematics/dynamics/control * Robot perception/vision * Sensor/actuator networks * Service robots * Soft robotics and liquid metal robots |
| * Adaptive and robust control * Computational intelligence in automation * Control of biological systems * Cooperative control * Cyber-physical systems * Data/Event-driven modeling and control * Discrete event systems * Embedded system and wireless sensor network |
* Factory modeling and simulation * Fault diagnosis * Hybrid systems * Intelligent manufacturing * Intelligent transportation systems * Man-machine interactions * Multi-agent systems * Nano-scale automation and assembly |
* Networked control systems * Nonlinear systems and control * Optimal control * Power system control * Process control * Production planning, scheduling, and control * System identification * System integration |
| * Advanced persistent threats * AI for anomaly detection * AI for identity and access management * AI for incident response and recovery * AI in cybersecurity * AI-based malware detection and analysis * AI-driven intrusion detection systems * AI-driven security operations centers * Biometric authentication |
* Blockchain and distributed ledger technology * Cyber threat intelligence and analysis * Deception technologies and honeypots * Explainable AI in cybersecurity * Homomorphic encryption * Insider threat detection and mitigation * IoT and cyber-physical system security * Post-quantum cryptography * Privacy-preserving AI |
* Quantum secure communication protocols * Ransomware detection and defense * Robust AI systems in security * Secure AI architectures and machine learning * Secure cloud-edge systems * Secure multi-party computation * Security as a service (SECaaS) * Smart contracts & applications * Zero trust security architecture |