Aims
Bio-inspired Intelligence is an international, peer-reviewed, open-access journal dedicated to advancing the science and technology of intelligent systems inspired by biological structures, functions, behaviors, and mechanisms. The journal covers the intersection of foundational sciences, including biology, neuroscience, cognitive science, biomechanics, and materials science, and engineering disciplines such as artificial intelligence, robotics, control, and computational science. It provides a multidisciplinary platform for pioneering research on bio-inspired intelligence, intelligent computation, embodied systems, and human–machine integration.
The journal focuses on understanding, modeling, and abstracting biological principles underlying perception, learning, cognition, locomotion, adaptation, coordination, and interaction into new theories, computational paradigms, algorithms, intelligent materials, robotic mechanisms, and autonomous systems. It welcomes both theoretical and embodied approaches, ranging from biologically inspired computational models and brain-inspired intelligence to physical intelligent systems and real-world applications.
Bio-inspired Intelligence aims to connect biological discovery with computational and engineering realization, fostering the development of intelligent systems that are adaptive, autonomous, efficient, resilient, and capable of interacting with complex environments. The journal welcomes theoretical, computational, methodological, experimental, and translational contributions that advance the understanding, design, and deployment of bio-inspired intelligent systems.
Scopes
Bio-inspired Intelligence welcomes original research and review articles covering fundamental theories, computational methods, enabling technologies, intelligent systems, and practical applications of bio-inspired intelligence. Topics include, but are not limited to:
- Bio-inspired perception, sensing, cognition, navigation, and sensorimotor intelligence;
- Bio-inspired control, decision-making, adaptation, and autonomous systems;
- Bio-inspired robotics, including aerial, legged, aquatic, soft, and multimodal robots;
- Bio-inspired computation, learning, optimization, and evolutionary intelligence;
- Embodied intelligence, physical intelligence, and morphology–intelligence interaction;
- Bio-inspired actuation, intelligent materials, morphing structures, and biomechanics;
- Bio-inspired intelligence and biological principles of intelligent behavior;
- Brain-inspired intelligence, neural computation, and neuromorphic systems;
- Swarm intelligence, collective behavior, and multi-agent cooperation;
- Human-machine integration, biohybrid systems, and real-world applications of bio-inspired intelligence.
