journal article·2023-01-06Open access

Robot Formation Performing a Collaborative Load Transport and Delivery Task by Using Lifting Electromagnets

Celso Oliveira Barcelos, Leonardo Alves Fagundes-Júnior, Daniel Khéde Dourado Villa, Mário Sarcinelli-Filho, Amanda Piaia Silvatti, Daniel Ceferino Gandolfo, Alexandre Santos Brandão

Applied Sciences· Volume 13· Issue 2

Abstract

This paper presents a practical validation of a heterogeneous formation of mobile robots in performing a load lifting, transportation, and delivery task. Assuming that an unmanned ground vehicle (UGV) is unable to perform a mission by itself due to the presence of an obstacle in the navigation route, an unmanned aerial vehicle (UAV) is then assigned to lift the cargo over this UGV, transport the obstacle, and deliver over another UGV. The UAV uses an electromagnetic actuator supported by a cable to pick up the load, the mass of which is 32% of that of the UAV. Experimental results demonstrate that the developed system is capable of performing cargo transport missions and can be scalable for applications such as package delivery in urban or remote areas and supply delivery in conflict or disaster zones.
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Research context

OpenAlex topics: Robotic Path Planning Algorithms · Modular Robots and Swarm Intelligence · Robotics and Sensor-Based Localization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Robotics Specialization Center (NERo) at the Department of Electrical Engineering, Universidade Federal de Viçosa, Viçosa 36570-900, MG, Brazil

Department of Electrical Engineering, Federal University of Espírito Santo, Vitória 29075-910, ES, Brazil

Laboratory of Biomecanics Analysis (LAB) at the Department of Physical Education, Federal University of Viçosa, Viçosa 36570-900, MG, Brazil

Instituto de Automática, Universidad Nacional de San Juan-CONICET, Av. San Martín Oeste 1109, San Juan 5400, Argentina

Funding

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

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