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A Survey on Aerial Swarm Robotics

Soon-Jo Chung, Aditya Avinash Paranjape, Philip Dames, Shaojie Shen, Vijay Kumar
2018 IEEE Transactions on robotics  
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

Wenju Mao, Zhijie Liu, Heng Liu, Fuzeng Yang, Meirong Wang
2021 Applied Sciences  
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

Chris Lytridis, Vassilis G. Kaburlasos, Theodore Pachidis, Michalis Manios, Eleni Vrochidou, Theofanis Kalampokas, Stamatis Chatzistamatis
2021 Agronomy  
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

Yong-Kun Zhou, Bin Rao, Wei Wang
2020 IEEE Access  
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

Girish Balasubramanian, Senthil Arumugam Muthukumaraswamy
2019 International Journal of Engineering and Applied Sciences (IJEAS)  
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

N. Botteghi, A. Kamilaris, L. Sinai, B. Sirmacek
2020 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

Shreevanth Krishnaa Gopalakrishnan, Saba Al-Rubaye, Gokhan Inalhan
2021 2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC)  
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]

Lynne E. Parker
2008 Springer Handbook of Robotics  
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

Yali Zhang, Haoxin Tian, Xinrong Huang, Chenyang Ma, Linlin Wang, Hanchao Liu, Yubin Lan
2021 Applied Sciences  
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

S. Muthukumaran, R. Sivaramakrishnan
2019 International Journal of Simulation Modelling  
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

DaeEun Kim
2019 Applied Sciences  
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]

Devansh Verma, Priyansh Saxena, Ritu Tiwari
2019 arXiv   pre-print
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

Huao Li, Jaeho Bang, Sasanka Nagavalli, Changjoo Nam, Michael Lewis, Katia Sycara
2018 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  
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

Xiaoming Zhang, Mohsin Ali
2020 IEEE Access  
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

Yi Chen, Yun Li
2019 IEEE Access  
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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