Collaborative Swarm Robotics for Object Transport via Caging

In swarm robotics, collective transport refers to the cooperative movement of a large object by multiple small robots, each with limited individual capabilities such as sensing, mobility, and communication. When working together, however, these simple agents can achieve complex tasks. This study explores a collective transport method based on the caging approach, which involves surrounding the object in a way that restricts its movement while still allowing limited motion, effectively preventing escape from the robot formation. The proposed approach is structured into four main phases: locating the object, recruiting additional robots, forming an initial cage around the object, and finally, performing the transportation. The method is tested using simulations in the CoppeliaSim environment, employing a team of Khepera-III robots. Performance metrics include execution time for the search and recruitment phases, and both execution time and trajectory accuracy, via a normalized error, for the transport phase. To further validate the method, a comparison is made between the caging-based strategy and a traditional pushing strategy.

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Publication Details

Journal
Sensors
Published
2025-08-14
DOI
https://doi.org/10.3390/s25165063
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.00

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article

Collaborative Swarm Robotics for Object Transport via Caging

Luiza de Macedo Mourelle, Karen Cardoso, Nadia Nedjah
Sensors
Modular Robots and Swarm Intelligence
article

Collaborative Swarm Robotics for Object Transport via Caging

Luiza de Macedo Mourelle, Karen Cardoso, Nadia Nedjah
article en

Abstract

In swarm robotics, collective transport refers to the cooperative movement of a large object by multiple small robots, each with limited individual capabilities such as sensing, mobility, and communication. When working together, however, these simple agents can achieve complex tasks. This study explores a collective transport method based on the caging approach, which involves surrounding the object in a way that restricts its movement while still allowing limited motion, effectively preventing escape from the robot formation. The proposed approach is structured into four main phases: locating the object, recruiting additional robots, forming an initial cage around the object, and finally, performing the transportation. The method is tested using simulations in the CoppeliaSim environment, employing a team of Khepera-III robots. Performance metrics include execution time for the search and recruitment phases, and both execution time and trajectory accuracy, via a normalized error, for the transport phase. To further validate the method, a comparison is made between the caging-based strategy and a traditional pushing strategy.

SensorsVol. 25(16)
Universidade do Estado do Rio de Janeiro (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Openalex Percentile: Top 79%
Modular Robots and Swarm Intelligence
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Collaborative Swarm Robotics for Object Transport via Caging — Luiza de Macedo Mourelle, Karen Cardoso, et al. · Sensors (2025) | TGRS Research Map | TGRS