Decentralized swarms of unmanned aerial vehicles for search and rescue operations without explicit communication

Horyna, Jiri; Báča, Tomáš; Walter, Viktor; Albani, Dario; Heřt, Daniel; Ferrante, Eliseo; Saska, Martin

doi:10.1007/s10514-022-10066-5

Cited by 24 publications

(12 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Horyna et al. (2022) , decentralized swarms of unmanned aerial vehicles for real-world search and rescue operations without explicit communication are explored.…”

Section: A View On Current Research Trends In Multi-agent Searchmentioning

confidence: 99%

“…In Horyna et al (2022), decentralized swarms of unmanned aerial vehicles for real-world search and rescue operations without explicit communication are explored. A self-adaptive communication strategy is developed to allow an efficient change of swarm azimuth to a direction with a higher priority in order to inspect an object of interest based on the real-time onboard detections.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On the role and opportunities in teamwork design for advanced multi-robot search systems

Francos

Bruckstein²

2023

Front. Robot. AI

View full text Add to dashboard Cite

Intelligent robotic systems are becoming ever more present in our lives across a multitude of domains such as industry, transportation, agriculture, security, healthcare and even education. Such systems enable humans to focus on the interesting and sophisticated tasks while robots accomplish tasks that are either too tedious, routine or potentially dangerous for humans to do. Recent advances in perception technologies and accompanying hardware, mainly attributed to rapid advancements in the deep-learning ecosystem, enable the deployment of robotic systems equipped with onboard sensors as well as the computational power to perform autonomous reasoning and decision making online. While there has been significant progress in expanding the capabilities of single and multi-robot systems during the last decades across a multitude of domains and applications, there are still many promising areas for research that can advance the state of cooperative searching systems that employ multiple robots. In this article, several prospective avenues of research in teamwork cooperation with considerable potential for advancement of multi-robot search systems will be visited and discussed. In previous works we have shown that multi-agent search tasks can greatly benefit from intelligent cooperation between team members and can achieve performance close to the theoretical optimum. The techniques applied can be used in a variety of domains including planning against adversarial opponents, control of forest fires and coordinating search-and-rescue missions. The state-of-the-art on methods of multi-robot search across several selected domains of application is explained, highlighting the pros and cons of each method, providing an up-to-date view on the current state of the domains and their future challenges.

show abstract

“…In Horyna et al. (2022) , decentralized swarms of unmanned aerial vehicles for real-world search and rescue operations without explicit communication are explored.…”

Section: A View On Current Research Trends In Multi-agent Searchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the role and opportunities in teamwork design for advanced multi-robot search systems

Francos

Bruckstein²

2023

Front. Robot. AI

View full text Add to dashboard Cite

show abstract

“…Nevertheless, bringing these swarm systems into the real world is a long-standing problem, due to the significant operative differences between laboratory environments and diverse, real-world environments. To deal with the demands of various real-world environments, the MRS platforms can be modified to handle the operating conditions required in plain fields, forests, dunes and deserts, hills, and much more [2,4,23,27,37,58,66,71]. One essential element of biologically-inspired swarming architectures is the perception-aware system, which allows for maintaining group cohesion and avoiding collisions between teammates.…”

Section: Swarming In Deserts Hills and Forestsmentioning

confidence: 99%

“…Moreover, we provided an analysis of the stability of the swarm concerning the accuracy of position estimation. A compact group of MRS UAVs was deployed in a desert environment [37] for search and rescue applications with a CNN camera detector for human-victim detection in a control loop. These experiments also verified MRS platforms under demanding light and temperature conditions.…”

Section: Swarming In Deserts Hills and Forestsmentioning

confidence: 99%

MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems

Heřt

Báča

Petráček

et al. 2023

J Intell Robot Syst

Self Cite

View full text Add to dashboard Cite

This paper presents a modular autonomous Unmanned Aerial Vehicle (UAV) platform called the Multi-robot Systems (MRS) Drone that can be used in a large range of indoor and outdoor applications. The MRS Drone features unique modularity with respect to changes in actuators, frames, and sensory configuration. As the name suggests, the platform is specially tailored for deployment within a MRS group. The MRS Drone contributes to the state-of-the-art of UAV platforms by allowing smooth real-world deployment of multiple aerial robots, as well as by outperforming other platforms with its modularity. For real-world multi-robot deployment in various applications, the platform is easy to both assemble and modify. Moreover, it is accompanied by a realistic simulator to enable safe pre-flight testing and a smooth transition to complex real-world experiments. In this manuscript, we present mechanical and electrical designs, software architecture, and technical specifications to build a fully autonomous multi UAV system. Finally, we demonstrate the full capabilities and the unique modularity of the MRS Drone in various real-world applications that required a diverse range of platform configurations.

show abstract

“…Flying robots are small in size and exible in movement, and their space of movement is very wide and not limited by the terrain. 163 Consequently, they have extensive applications in various elds such as aerospace, military reconnaissance, environmental monitoring, and disaster response. [164][165][166] The design of ying robots is oen inspired by the anatomy and locomotion of birds, insects, and other organisms.…”

Section: Flying Robotsmentioning

confidence: 99%

Metal–air batteries for powering robots

Zhong,

Wang,

Zuo

et al. 2023

J. Mater. Chem. A

View full text Add to dashboard Cite

show abstract

Decentralized swarms of unmanned aerial vehicles for search and rescue operations without explicit communication

Cited by 24 publications

References 38 publications

On the role and opportunities in teamwork design for advanced multi-robot search systems

On the role and opportunities in teamwork design for advanced multi-robot search systems

MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems

Metal–air batteries for powering robots

Contact Info

Product

Resources

About