A Bio-Inspired Data-Driven Locomotion Optimization Framework for Adaptive Soft Inchworm Robots

This paper presents a data-driven framework for optimizing energy-efficient locomotion in a bio-inspired soft inchworm robot. Leveraging a feedforward neural network, the proposed approach accurately models the nonlinear relationships between actuation parameters (pressure, frequency) and environmen...

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Bibliographic Details
Main Authors: Mahtab Behzadfar, Arsalan Karimpourfard, Yue Feng
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Biomimetics
Subjects:
Online Access:https://www.mdpi.com/2313-7673/10/5/325
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