Integrative Simulation of Electromechanical Behavior in Soft Robotics: A Study of Solid Mechanics and Electric Current Fields

Soft robot simulation is an essential tool for analyzing the performance of flexible materials under conditions involving high degrees of freedom and deformation. Unlike conventional rigid robots, soft robots have attracted significant attention due to their inherent flexibility and their ability to navigate and adapt within complex environments. Despite their advantages, most existing soft robots lack the ability to perceive their own deformation. This paper aims to bridge this gap by integrating solid mechanics with electric current fields to enhance the simulation of soft robots. Using numerical grids, circulating current excitation, and surface potential measurement methods, this study conducts simulation research on soft robots undergoing three distinct types of deformation: bending, elongation, and rotation. These deformations are chosen to represent a wide range of movements and stresses that soft robots may encounter in practical applications. By examining these deformations through detailed case studies, we can deepen our understanding of soft robot structures within a simulation environment. The integration of solid mechanics and electric current fields allows for a more comprehensive simulation, providing insights into how soft robots react to various forces and movements. Numerical grids facilitate the precise mapping of deformation across the robot's body, while circulating current excitation and surface potential measurements enable real-time feedback on the robot's structural integrity and functional performance.

Authors

Institutions

Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1145/3717934.3718021
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrative Simulation of Electromechanical Behavior in Soft Robotics: A Study of Solid Mechanics and Electric Current Fields

Xin Wang
Advanced Sensor and Energy Harvesting Materials
article

Integrative Simulation of Electromechanical Behavior in Soft Robotics: A Study of Solid Mechanics and Electric Current Fields

Xin Wang
article en

Abstract

Soft robot simulation is an essential tool for analyzing the performance of flexible materials under conditions involving high degrees of freedom and deformation. Unlike conventional rigid robots, soft robots have attracted significant attention due to their inherent flexibility and their ability to navigate and adapt within complex environments. Despite their advantages, most existing soft robots lack the ability to perceive their own deformation. This paper aims to bridge this gap by integrating solid mechanics with electric current fields to enhance the simulation of soft robots. Using numerical grids, circulating current excitation, and surface potential measurement methods, this study conducts simulation research on soft robots undergoing three distinct types of deformation: bending, elongation, and rotation. These deformations are chosen to represent a wide range of movements and stresses that soft robots may encounter in practical applications. By examining these deformations through detailed case studies, we can deepen our understanding of soft robot structures within a simulation environment. The integration of solid mechanics and electric current fields allows for a more comprehensive simulation, providing insights into how soft robots react to various forces and movements. Numerical grids facilitate the precise mapping of deformation across the robot's body, while circulating current excitation and surface potential measurements enable real-time feedback on the robot's structural integrity and functional performance.

Xi'an Jiaotong University (CN)
Openalex Percentile: Top 74%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Integrative Simulation of Electromechanical Behavior in Soft Robotics: A Study of Solid Mechanics and Electric Current Fields — Xin Wang · (2024) | TGRS Research Map | TGRS