Overcoming Physical Limitations Utilizing the Surrounding Environment with a Wire‐Driven Multipurpose Robot

The movements of robots are inherently constrained by their physical structure, making it challenging for them to respond flexibly to the complex tasks required in disaster situations or while assisting in daily life activities. Modular and transformable robots have been developed to address these challenges. However, no robot has been able to freely manipulate its operational wrench space while retaining scalability when operated with a powerful output wrench in a large workspace. This study proposes a concept for overcoming the constraints of the physical structure and accomplishing diverse tasks using the wire‐driven robot CubiX. CubiX connects itself to the environment using wires via drones and can move freely by winding these wires. Furthermore, CubiX can extend its capabilities by integrating with tools such as vacuum cleaners, tables, and other robots. For example, when CubiX is integrated with a quadruped robot, it not only gains walking capabilities but also creates additional value using the robot legs as arms for object manipulation while aerially navigating through a space using wire‐driven movements. This study demonstrates that the robot can exhibit capabilities beyond its structure by skillfully utilizing the environment.

Authors

Institutions

Publication Details

Journal
Advanced Robotics Research
Published
2025-02-21
DOI
https://doi.org/10.1002/adrr.202400021
Citations
2
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
1.43

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Overcoming Physical Limitations Utilizing the Surrounding Environment with a Wire‐Driven Multipurpose Robot

Temma Suzuki, Masayuki Inaba, Kento Kawaharazuka, Sota Yuzaki et al.
2 citations
Advanced Robotics Research
Modular Robots and Swarm Intelligence
1.43
article

Overcoming Physical Limitations Utilizing the Surrounding Environment with a Wire‐Driven Multipurpose Robot

Temma Suzuki, Masayuki Inaba, Kento Kawaharazuka, Sota Yuzaki, Kei Okada, S. Inoue
article en
2 citations

Abstract

The movements of robots are inherently constrained by their physical structure, making it challenging for them to respond flexibly to the complex tasks required in disaster situations or while assisting in daily life activities. Modular and transformable robots have been developed to address these challenges. However, no robot has been able to freely manipulate its operational wrench space while retaining scalability when operated with a powerful output wrench in a large workspace. This study proposes a concept for overcoming the constraints of the physical structure and accomplishing diverse tasks using the wire‐driven robot CubiX. CubiX connects itself to the environment using wires via drones and can move freely by winding these wires. Furthermore, CubiX can extend its capabilities by integrating with tools such as vacuum cleaners, tables, and other robots. For example, when CubiX is integrated with a quadruped robot, it not only gains walking capabilities but also creates additional value using the robot legs as arms for object manipulation while aerially navigating through a space using wire‐driven movements. This study demonstrates that the robot can exhibit capabilities beyond its structure by skillfully utilizing the environment.

Advanced Robotics ResearchVol. 1(1)
The University of Tokyo (JP)
University of Tokyo, Japan Society for the Promotion of Science
Openalex Percentile: Top 22%
Modular Robots and Swarm Intelligence
1.43
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.