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A Survey on Aerial Swarm Robotics
2018
IEEE Transactions on robotics
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their flight in such a way that the overall objectives of the swarm are achieved efficiently. ...
A key enabling technology for swarms is the family of algorithms that allow the individual members of the swarm to communicate and allocate tasks amongst themselves, plan their trajectories, and coordinate ...
ACKNOWLEDGMENT The authors very much appreciate Frank Park's guidance and encouragement. The authors thank Salar Rahili for his comments and Lily Kass for her editorial assistance. ...
doi:10.1109/tro.2018.2857475
fatcat:4blp42msbzakvmwlwyd3e57o2e
Research Progress on Synergistic Technologies of Agricultural Multi-Robots
2021
Applied Sciences
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of agricultural multi-robots, such as building a hybrid architecture of multi-robot systems, SLAM (simultaneous localization and mapping), cooperation learning of robots, hybrid path planning and formation ...
multi-robots in recent years, namely, environment perception, task allocation, path planning, formation control, and communication, and summarizes the technological progress and development characteristics ...
We also thank the critical comments and suggestions from the anonymous reviewers for improving the manuscript.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app11041448
fatcat:sk5eu5j62vg6rkys62qhxzhphq
An Overview of Cooperative Robotics in Agriculture
2021
Agronomy
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This paper presents a comprehensive overview of the work carried out so far in the area of cooperative agricultural robotics and identifies the state-of-the-art. ...
Agricultural robotics has been a popular subject in recent years from an academic as well as a commercial point of view. ...
A bioinspired path planning strategy for coordinating a hybrid (aerial and groundbased) multi-robot team toward a target was presented in [76] . ...
doi:10.3390/agronomy11091818
fatcat:uyv3nraeofe6tk57ko4xzfgjei
UAV Swarm Intelligence: Recent Advances and Future Trends
2020
IEEE Access
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In this paper, we present a comprehensive survey of UAV swarm intelligence from the hierarchical framework perspective. Firstly, we review the basics and advances of UAV swarm intelligent technology. ...
Then we look inside to investigate the research work by classifying UAV swarm intelligence research into five layers, i.e., decision-making layer, path planning layer, control layer, communication layer ...
Using detection information and target motion prediction, a multi-UAV search path planning optimization model is established, and by using an efficient HPSO algorithm to solve the model, the target discovery ...
doi:10.1109/access.2020.3028865
fatcat:bvru22a2jregnmzbpehefg7irm
Improvement of Obstacle Avoidance Algorithm in Navigation for Swarm Robotics using MATLAB
2019
International Journal of Engineering and Applied Sciences (IJEAS)
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This paper discusses the recent developments of obstacle avoidance algorithms being used in the field of swarm robotics for various applications with a focus on navigation. ...
The paper also showcases some simulation results obtained using MATLAB for obstacle avoidance in a multi robot environment. ...
This was online path planning and offline path planning. In offline path planning, the robots are assumed to know the environment and all obstacles present. ...
doi:10.31873/ijeas/6.3.2019.07
fatcat:j75sdf56qnhm5jtgfuesxlmhci
MULTI-AGENT PATH PLANNING OF ROBOTIC SWARMS IN AGRICULTURAL FIELDS
2020
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Hence, this paper deals with the problem of optimizing path routing for a swarm of ground robots and UAVs in different popular topologies of agricultural fields. ...
Collaborative swarms of robots/UAVs constitute a promising solution for precision agriculture and for automatizing agricultural processes. ...
of Cyprus through the Directorate General for European Programmes, Coordination and Development. ...
doi:10.5194/isprs-annals-v-1-2020-361-2020
fatcat:npz3o4qmofb2tndhslkvcxu2qq
Adaptive UAV Swarm Mission Planning by Temporal Difference Learning
2021
2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC)
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System for UAV swarms. ...
Subsequently, to maximize the efficiency with which missions are carried out, the two problems of global mission planning: task assignment/routing and path planning, were solved together, for small problem ...
Operating from a central depot , a swarm of agricultural UAVs are tasked with visiting a subset of the targets each for fertilizer spraying in a near-optimal path (time and distance). ...
doi:10.1109/dasc52595.2021.9594300
fatcat:6iabhidn7naj5eylq7bmq6axpq
Multiple Mobile Robot Systems
[chapter]
2008
Springer Handbook of Robotics
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In the M+ approach, robots plan their own individual plans for the task they have been assigned. ...
Traffic Control and Multi-Robot Path Planning When multiple robots are operating in a shared environment, they must coordinate their actions to prevent interference. ...
doi:10.1007/978-3-540-30301-5_41
fatcat:v3yo5joepja2lketepmahupkfm
Research Progress and Prospects of Agricultural Aero-Bionic Technology in China
2021
Applied Sciences
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On this basis, problems of related research and application of agricultural aircraft in real-time obstacle avoidance, path planning, and intelligent navigation were analyzed. ...
This review provides a reference for the development of bionic technology in China's agricultural aviation. ...
three-dimensional path, and then reasonably planned the path points in the path. ...
doi:10.3390/app112110435
fatcat:66bjym3hszbtdla7ikw3lodony
Optimal Path Planning for an Autonomous Mobile Robot Using Dragonfly Algorithm
2019
International Journal of Simulation Modelling
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After every iteration, based on the objective function values the robot proceeds towards the globally best agent in the swarm in a sequence of permutation which finally leads to the target. ...
Two objective functions, target seeking and obstacle avoidance are formulated based on the distance between the robot, target and the obstacles and is optimized using the proposed DA for obtaining optimal ...
The path planning problem is transformed into a minimization problem and accordingly, two suitable objective functions are formulated based on the distances between the robot, obstacles and the target. ...
doi:10.2507/ijsimm18(3)474
fatcat:tsh63hqqjjdydapunifabawx4e
Special Feature on Advanced Mobile Robotics
2019
Applied Sciences
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Mobile robots and their applications are involved with many research fields including electrical engineering, mechanical engineering, computer science, artificial intelligence and cognitive science [.. ...
There have been many ceaseless efforts from the authors, and the reviewers' feedback and comments greatly ...
Acknowledgments: We would like to thank all the authors and reviewers who contributed to this Special Issue. ...
doi:10.3390/app9214686
fatcat:25p6a4yjxzd25anrryk5cdghii
Robot navigation and target capturing using nature-inspired approaches in a dynamic environment
[article]
2019
arXiv
pre-print
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Path Planning and target searching in a three-dimensional environment is a challenging task in the field of robotics. ...
The path planning problem has sought to be of extreme importance in the military, search and rescue missions and in life-saving tasks. ...
After collision avoidance, the path planning system is kicked again, and the process continues.
Glowworm Swarm Optimization(GSO). ...
arXiv:1911.02268v1
fatcat:xuj4awudt5cb7p4l2yvgq3a7va
Human Interaction Through an Optimal Sequencer to Control Robotic Swarms
2018
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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In this paper, we concentrate on a method for conveying input from the operator to the swarm. ...
Index Terms-Human-robot interaction, swarm robotics, multi-robot systems *These authors have equal contributions to this paper. ...
A key advantage of robot swarms is that the system is robust to individual robot failures and does not require centralized planning or control. ...
doi:10.1109/smc.2018.00644
dblp:conf/smc/LiBNN0S18
fatcat:k5bgegu5rvfv7jeer27p2jki2a
A Bean Optimization-based Cooperation Method for Target Searching by Swarm UAVs in Unknown Environments
2020
IEEE Access
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a Thiessen polygon; and 2) it adds a free space search mechanism to improve the efficiency of target searching. ...
The results obtained from search simulations show that the RBOA can outperform adaptive robotic particle swarm optimization (A-RPSO) in target searches in complex and unknown environments, especially with ...
Reference [13] used robots to search for lost targets in unknown environments. As a typical swarm robot system, swarm UAVs have also been applied to target searching. ...
doi:10.1109/access.2020.2977499
fatcat:u7swbr2oerc5vibermpdtgranm
Intelligent Autonomous Pollination for Future Farming -A Micro Air Vehicle Conceptual Framework with Artificial Intelligence and Human-in-the-loop
2019
IEEE Access
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The autonomous MPrs are realized using artificial intelligence and human expertise in the loop for smart agricultural industry. ...
This paper develops a conceptual technical roadmap of autonomous pollination for future farming using robotic micro air vehicle pollinators (MPrs). ...
For autonomous pollination, path planning is often seen as a global optimisation problem, in which the feasibility of the candidate path depends on the mission, environment and MPrs' physical constraints ...
doi:10.1109/access.2019.2937171
fatcat:ibnbew5grfhudfria5l7vvowym
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