Intelligence & Robotics publishes top-quality unpublished original technical and non-technical application-focused articles on intelligence and robotics, particularly on the interdisciplinary areas of intelligence and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