AI-Driven Control Strategies for Biomimetic Robotics: Trends, Challenges, and Future Directions.

ABSTRACT: Biomimetic robotics aims to replicate biological movement, perception, and cognition, drawing inspiration from nature to develop robots with enhanced adaptability, flexibility, and intelligence. The integration of artificial intelligence has significantly advanced the control mechanisms of biomimetic robots, enabling real-time learning, optimization, and adaptive decision-making. This review systematically examines AI-driven control strategies for biomimetic robots, categorizing recent advancements and methodologies. First, we review key aspects of biomimetic robotics, including locomotion, sensory perception, and cognitive learning inspired by biological systems. Next, we explore various AI techniques-such as machine learning, deep learning, and reinforcement learning-that enhance biomime

SUBMITTER: Jung H 

PROVIDER: S-EPMC12292875 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature