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Intelligence & Robotics publishes top-quality unpublished original technical and non-technical application-focused articles on intelligence and robotics, particularly on the interdisciplinary areas of intelligence and robotics. The Journal seeks to publish articles that deal with the theory, design, and applications of intelligence and robotics, ranging from software to hardware. The Journal would be interested in the distributed development and maintenance of real-world intelligent and robotic systems by multidisciplinary teams of scientists and engineers.

The scope includes, but is not limited to:

1. Artificial Intelligence Foundations & Methods

Machine learning and deep learning
Generative AI and foundation models (e.g., large language models, vision-language models)
Reinforcement learning and imitation learning
Self-supervised, unsupervised, and continual/lifelong learning
Causal inference and explainable AI (XAI)
Trustworthy, robust, and secure AI (adversarial learning, OOD generalization)
Neuro-symbolic AI and hybrid intelligence
Swarm intelligence and distributed intelligence
2. Embodied Intelligence & Physical AI

Embodied AI and embodied cognition
Foundation models for robotics (robot foundation models, VLA models)
Perception–action loop and sensorimotor learning
Sim-to-real transfer and domain adaptation
Interactive learning in physical environments
World models and predictive representations for agents
3. Robotics: Modeling, Planning, and Control

Motion planning and trajectory optimization
Autonomous navigation and SLAM
Multi-agent systems and cooperative control
Distributed coordination and consensus control
Fault diagnosis, fault-tolerant control, and resilient robotics
Human-in-the-loop control and shared autonomy
Learning-based control and adaptive control systems
4. Robot Perception & Multimodal Intelligence

Computer vision for robotics (3D vision, scene understanding)
Multimodal perception and sensor fusion (vision, language, tactile, audio)
Semantic mapping and spatial intelligence
Active perception and attention mechanisms
Event-based perception and neuromorphic sensing
5. Human–Robot Interaction & Collaboration

Human–robot collaboration (HRC)
Teleoperation and telepresence systems
Intention recognition and behavior prediction
Natural language interaction and dialogue systems for robots
Social robotics and affective computing
Brain–computer interfaces (BCI) for robotic control
6. Advanced Robotic Systems & Platforms

Humanoid robots and legged robots
Aerial, ground, marine, and space robots
Swarm robotics and multi-robot systems
Soft robotics and bio-inspired robotic systems
Surgical robotics and medical robotic systems
Industrial and service robotics
7. Digital, Virtual, and Simulation Technologies

Digital twins for robotics and intelligent systems
Simulation platforms and virtual testing environments
Virtual reality (VR), augmented reality (AR), and mixed reality (MR)
Data-driven simulation and synthetic data generation
8. AI for Cyber-Physical and Intelligent Systems

Autonomous driving and intelligent transportation systems
Smart manufacturing and Industry 4.0
Intelligent infrastructure and smart cities
Marine and aerospace autonomous systems
Edge AI and embedded intelligence
9. Reliability, Prognostics, and Health Management for Robotic Systems

Fault diagnosis and fault-tolerant systems
Remaining useful life (RUL) prediction
AI-based battery health estimation (SOH, SOC)
Predictive maintenance for robotic and autonomous systems
Digital twin-driven health monitoring
10. The journal encourages interdisciplinary research on artificial intelligence and/or robotics

Energy systems
Healthcare
Transportation
Manufacturing
Other emerging domains
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