A Low-Cost Bio-inspired Soft Wrist Enhancing Robotic Manipulation Dexterity

Manipulation plays a crucial role in the automation of modern logistics. One of the most challenging tasks in logistics is packaging, which requires precise and skillful manipulation of target goods. Expert human laborers excel in this task, as their wrists can easily adjust the orientation of their hands to adapt to different picking surfaces and reorient the target as needed. This ability significantly enhances human maneuverability and efficiency. However, robots still struggle to match the capabilities of human laborers, particularly when it comes to manipulating objects' orientations in tight spaces. To address this challenge in automatic packaging, we propose a novel solution: a soft robotic wrist. Our robotic wrist utilizes a cable-driven origami mechanism to adjust its configuration, enabling omni-directional bending. This innovative design dramatically enhances dexterity and expands the workspace of existing robotic manipulators. To validate the effectiveness of our robotic wrist, we conducted dedicated experiments to assess its dexterity and precision. Building upon this technology, we developed an intelligent packaging system that incorporates the robotic wrist. This system can automatically locate the target and determine its orientation, reorient the targets as necessary, and place them in the desired position. Overall, our proposed robotic wrist offers a promising solution to the challenges of dexterous and efficient robotic packaging in logistics and warehouse applications.

Authors

Institutions

Publication Details

Published
2024-12-10
DOI
https://doi.org/10.1109/robio64047.2024.10907423
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Low-Cost Bio-inspired Soft Wrist Enhancing Robotic Manipulation Dexterity

Jianshu Zhou, Honghao Guo, Junda Huang, Fei Chen et al.
1 links
Neuroscience and Neural Engineering
article

A Low-Cost Bio-inspired Soft Wrist Enhancing Robotic Manipulation Dexterity

Jianshu Zhou, Honghao Guo, Junda Huang, Fei Chen, Yunhui Liu
article en

Abstract

Manipulation plays a crucial role in the automation of modern logistics. One of the most challenging tasks in logistics is packaging, which requires precise and skillful manipulation of target goods. Expert human laborers excel in this task, as their wrists can easily adjust the orientation of their hands to adapt to different picking surfaces and reorient the target as needed. This ability significantly enhances human maneuverability and efficiency. However, robots still struggle to match the capabilities of human laborers, particularly when it comes to manipulating objects' orientations in tight spaces. To address this challenge in automatic packaging, we propose a novel solution: a soft robotic wrist. Our robotic wrist utilizes a cable-driven origami mechanism to adjust its configuration, enabling omni-directional bending. This innovative design dramatically enhances dexterity and expands the workspace of existing robotic manipulators. To validate the effectiveness of our robotic wrist, we conducted dedicated experiments to assess its dexterity and precision. Building upon this technology, we developed an intelligent packaging system that incorporates the robotic wrist. This system can automatically locate the target and determine its orientation, reorient the targets as necessary, and place them in the desired position. Overall, our proposed robotic wrist offers a promising solution to the challenges of dexterous and efficient robotic packaging in logistics and warehouse applications.

Chinese University of Hong Kong (HK)
Openalex Percentile: Top 73%
Neuroscience and Neural Engineering
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.

A Low-Cost Bio-inspired Soft Wrist Enhancing Robotic Manipulation Dexterity — Jianshu Zhou, Honghao Guo, et al. · (2024) | TGRS Research Map | TGRS