Structure design and optimization of jumping mechanisms based on velocity manipulability

ObjectiveJumping robots are widely researched in the field of robotics today due to their unique advantages. The structural design of jumping mechanisms is crucial for enhancing the jumping performance of these robots. However, the current jumping mechanisms has the problems of complex structure, poor stability and speed transfer performance.MethodsA single degree of freedom closed-chain six-bar jumping mechanism was designed. The concept of velocity manipulability was introduced as a metric to assess the speed transfer performance of the mechanism, and a particle swarm optimization algorithm was employed for the mechanism optimization.ResultsThe results show that the optimized mechanism exhibits a 21.76% increase in the jumping velocity compared to its pre-optimized state. Additionally, the horizontal jumping distance and vertical jumping height have been enhanced by 48.00% and 48.57% respectively. These validate the rationality of the jumping mechanism design.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
Primary Topic
Quantum Chromodynamics and Particle Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structure design and optimization of jumping mechanisms based on velocity manipulability

SHILAP Revista de lepidopterología
Quantum Chromodynamics and Particle Interactions
article

Structure design and optimization of jumping mechanisms based on velocity manipulability

article en

Abstract

ObjectiveJumping robots are widely researched in the field of robotics today due to their unique advantages. The structural design of jumping mechanisms is crucial for enhancing the jumping performance of these robots. However, the current jumping mechanisms has the problems of complex structure, poor stability and speed transfer performance.MethodsA single degree of freedom closed-chain six-bar jumping mechanism was designed. The concept of velocity manipulability was introduced as a metric to assess the speed transfer performance of the mechanism, and a particle swarm optimization algorithm was employed for the mechanism optimization.ResultsThe results show that the optimized mechanism exhibits a 21.76% increase in the jumping velocity compared to its pre-optimized state. Additionally, the horizontal jumping distance and vertical jumping height have been enhanced by 48.00% and 48.57% respectively. These validate the rationality of the jumping mechanism design.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 74%
Quantum Chromodynamics and Particle Interactions
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.