Design and Development of a Work Cell with a One-Handed Soldering Tool for Enhanced Human-Robot Collaboration

The challenge of human-robot collaboration, particularly in the context of enhancing the productivity of work processes, has been a pivotal area of research and development for many years. Despite significant advancements, there remains a substantial gap in the design of these systems to cater specifically to individuals with disabilities. This paper presents an innovative approach in assistive robotics, focusing on the development of a work cell designed to facilitate individuals with single-arm functionality. Through the integration of depth camera technology, machine learning algorithms, and Mediapipe human tracking, our system is capable of interpreting human intentions, thereby making interactions with robots more intuitive and effective. Central to our research is the design of a specialized workspace that assists in object handling and incorporates a fully functional One-Handed Soldering Tool, integrated within a robotic arm setup. This work cell is tailored for users with limited arm functionality, demonstrating the system’s versatility and providing invaluable insights into the practical implementation of applied robotics to bridge the theoretical and practical aspects of assistive technology.

Authors

Institutions

Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/iros58592.2024.10801987
Primary Topic
Assembly Line Balancing Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Development of a Work Cell with a One-Handed Soldering Tool for Enhanced Human-Robot Collaboration

Raul Ariel Duran Jimenez, Tomohiro Shibata, Natchanon Suppaadirek, Maximilien Sonnic
Assembly Line Balancing Optimization
article

Design and Development of a Work Cell with a One-Handed Soldering Tool for Enhanced Human-Robot Collaboration

Raul Ariel Duran Jimenez, Tomohiro Shibata, Natchanon Suppaadirek, Maximilien Sonnic
article en

Abstract

The challenge of human-robot collaboration, particularly in the context of enhancing the productivity of work processes, has been a pivotal area of research and development for many years. Despite significant advancements, there remains a substantial gap in the design of these systems to cater specifically to individuals with disabilities. This paper presents an innovative approach in assistive robotics, focusing on the development of a work cell designed to facilitate individuals with single-arm functionality. Through the integration of depth camera technology, machine learning algorithms, and Mediapipe human tracking, our system is capable of interpreting human intentions, thereby making interactions with robots more intuitive and effective. Central to our research is the design of a specialized workspace that assists in object handling and incorporates a fully functional One-Handed Soldering Tool, integrated within a robotic arm setup. This work cell is tailored for users with limited arm functionality, demonstrating the system’s versatility and providing invaluable insights into the practical implementation of applied robotics to bridge the theoretical and practical aspects of assistive technology.

Kyushu Institute of Technology (JP)
Openalex Percentile: Top 64%
Assembly Line Balancing Optimization
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.

Design and Development of a Work Cell with a One-Handed Soldering Tool for Enhanced Human-Robot Collaboration — Raul Ariel Duran Jimenez, Tomohiro Shibata, et al. · (2024) | TGRS Research Map | TGRS