This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.
Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.
Improving the conduct and reporting of newer methodological approaches Causal inference, the multidisciplinary field focused ...
Objectives Anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV) is a systemic autoimmune disease where infections ...
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