Autonomous Navigation of Multiple Robots with Sensing and Communication Constraints Based on Mixed Reality

Almeida, João Paulo Lima Silva de; Nakashima, Renan Taizo; Neves-Jr, Flávio; Oliveira, André Schneider de; Arruda, Lúcia Valéria Ramos de

doi:10.1007/s40313-020-00629-1

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…Similarly, de Almeida et al also worked on a system to develop virtual sensing and communication using mixed reality concepts for very simple robots with limitations. They used AR Tags to identify objects in the physical environment [24]. [23].…”

Section: B Mixed Reality In Swarm Roboticsmentioning

confidence: 99%

“…Yes No Yes Yes No No e-pucks de Almeida et al [24] Yes No Yes Yes Yes Yes Any Payton et al [25] Yes No Yes Yes Yes No Pherobots Honig et al [14] Yes Yes Yes Yes Yes Yes Quadcopters Chen et al [26] Yes Yes Yes Yes Yes Yes Mobile robots Reina et al [27] Yes Yes Yes Yes Yes Yes Kilobots 1 The physical and virtual setup here means the possibility of changing the environmental conditions for experiments 2 Physical 3 Virtual None of the above listed works involves a virtual environment setup. Nevertheless, Payton et al used virtual pheromones with swarms of robots for communication and processing.…”

Section: B Mixed Reality In Swarm Roboticsmentioning

confidence: 99%

See 1 more Smart Citation

Mixed-Reality Based Multi-Agent Robotics Framework for Artificial Swarm Intelligence Experiments

Karunarathna,

Jaliyagoda,

Jayalath

et al. 2023

IEEE Access

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The term "Swarm intelligence" outlines a broad scope, which is generally defined as the collective behaviour of many individuals towards a certain task, each operating autonomously in a decentralised manner. Swarms are inspired by the type of biological behaviours of animals and this technology involves decentralised local control and communication, which ensures the problem-solving process is more efficient through modification and infusion into swarm robotic technology. One such application is Mixed Reality, which links both the real and virtual environments through Augmented Reality (AR) and Augmented Virtuality (AV). Enabling a robot to sense both physical and virtual environments via augmented means allows for the ability to interact with both environments. Swarm robotics related experiments and applications are relatively expensive compared to other types of robotics experiments. The most common solution is to use computer-based virtual simulations. However, as it lacks the realworld guarantee of execution, this study introduces a hybrid solution that can simultaneously execute swarm behavioural experiments on actual robots and virtually deployed robots, which can be used to test the functionalities of swarm robots with a large number of different environmental arrangements easier than physically creating them. As identifying the necessary requirements for implementing a mixed reality environment for swarm robotics simulation was this study's main focus, the basic interaction models were designed to conduct experiments with both physical and virtual robots in near real-time in a mixed reality environment. In addition, an open-source, distributed, and modular mixed reality simulation framework was implemented with support libraries and applications.

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Section: B Mixed Reality In Swarm Roboticsmentioning

confidence: 99%