Biologically Inspired Artificial Intelligence (BIAI)

Biologically Inspired Artificial Intelligence (BIAI) refers to computational models and algorithms that emulate the structure, function, and adaptive capabilities of biological neural systems, particularly those observed in neuroscience. By leveraging principles such as neural connectivity, plasticity, sensory integration, and learning dynamics, BIAI seeks to replicate the brain’s mechanisms for perception, decision-making, and adaptation. These biologically grounded approaches enable robotic and autonomous systems to exhibit more natural, robust, and flexible behaviors when operating in complex, uncertain, or dynamic environments.

• A Bio-Inspired Goal-Directed Cognitive Map Model for Robot Navigation and Exploration
• Bio-Inspired Intelligence-Based Multi-Agent Navigation with Safety-Aware Considerations
• A Bio-Inspired Neural Network Approach to Robot Navigation and Mapping with Nature-Inspired Algorithms
• A Bio-Inspired Goal-Directed Cognitive Map Approach to Robot Navigation and Mapping