Success-efficient/failure-safe strategy for hierarchical reinforcement motor learning.

ABSTRACT: Our study explores how ecological aspects of motor learning enhance survival by improving movement efficiency and mitigating injury risks during task failures. Traditional motor control theories mainly address isolated body movements and often overlook these ecological factors. We introduce a novel computational motor control approach, incorporating ecological fitness and a strategy that alternates between success-driven movement efficiency and failure-driven safety, akin to win-stay/lose-shift tactics. In our experiments, participants performed squat-to-stand movements under novel force perturbations. They adapted effectively through various adaptive motor control mechanisms to avoid falls, reducing failure rates rapidly. The results indicate a high-level ecological controller in human mo

SUBMITTER: Babic J 

PROVIDER: S-EPMC12121909 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature