The introduction of multiple unmanned aerial vehicle (UAV) systems into agriculture causes an increase in work efficiency and a decrease operator fatigue. However, that are commonly used perform tasks using single UAV with centralized controller. In this study, we develop multi-UAV system for the distributed swarm control algorithm evaluate performance system. proposed agricultural is quantitatively evaluated analyzed through four experimental cases: autonomous control, UAVs remote control....

In this paper, a novel decentralized control strategy for bilaterally teleoperating heterogeneous groups of mobile robots from different domains (aerial, ground, marine, and underwater) is proposed. By using architecture, the group robots, which treated as slave side, made able to navigate in cluttered environment while avoiding obstacles, interrobot collisions, following human motion commands. Simultaneously, operator acting on master side provided with suitable force feedback informative...

We propose a novel semiautonomous haptic teleoperation control architecture for multiple unmanned aerial vehicles (UAVs), consisting of three layers: 1) UAV layer, where each is abstracted by, and controlled to follow the trajectory of, its own kinematic Cartesian virtual point (VP); 2) VP which modulates VP's motion according commands local artificial potentials (for VP-VP/VP-obstacle collision avoidance VP-VP connectivity preservation); 3) through single remote human user can command all...

Fruit and vegetable harvesting robots have been widely studied developed in recent years. However, despite extensive research commercial tomato still remain a challenge. In this paper, we propose an efficient robot that combines the principle of 3D perception, Manipulation, End-effector. For robot, tomatoes are detected based on deep learning, after which coordinates target crop extracted motion control manipulator coordination. addition, suction pad featuring kirigami pattern, is part...

Path planning is crucial for several applications, including those in industrial facilities, network traffic, computer games, and agriculture. Enabling automated path-planning methods smart farms essential to the future development of agricultural technology. divided into global local planners. Global planners are different types use well-known grid-based sampling-based algorithms. In this paper, we propose an algorithm suitable combination with simultaneous localization mapping (SLAM) The...

Cooperation among heterogeneous agricultural field robots in an environment guarantees the advantages of effectiveness and scalability. However, traditional control theories for coordination multiple lack a systematic modeling method strategy under unstructured uncertain environments. To handle these limitations, novel approach based on Ramadge-Wonham theory discrete event system is proposed this letter. Specifications supervisory controller models were defined from perspective considering...

Abstract Nanomaterials associated with plant growth and crop cultivation revolutionize traditional concepts of agriculture. However, the poor reiterability these materials in agricultural applications necessitates development environmentally‐friendly approaches. To address this, biocompatible gelatin nanoparticles (GNPs) as nanofertilizers a small size (≈150 nm) positively charged surface (≈30 mV) that serve versatile tool practices is designed. GNPs load agrochemical agents to improve...

In this paper, a novel distributed control strategy for teleoperating fleet of Unmanned Aerial Vehicles (UAVs) is proposed. Using passivity based techniques, we allow the behavior UAVs to be as flexible possible with arbitrary split and join decisions while guaranteeing stability system. Furthermore, overall teleoperation system also made passive and, therefore, characterized by stable both in free motion when interacting unknown obstacles. The performance validated through semi-experiments.

In this paper, we investigate the effect of haptic cueing on a human operator's performance in field bilateral teleoperation multiple mobile robots, particularly unmanned aerial vehicles (UAVs). Two aspects are deemed important area, namely, maneuverability robots and perceptual sensitivity remote environment. We introduce metrics that allow us to address these two psychophysical studies, which reported here. Three fundamental cue types were evaluated. The Force conveys information proximity...

We propose a novel haptic teleoperation control framework for multiple unmanned aerial vehicles (UAVs) over the Internet, consisting of three layers: 1) UAV layer, where each is abstracted by, and controlled to follow trajectory of, its own kinematic virtual point (VP); 2) VP which modulates VP's motion according commands local artificial potentials (for inter-VP/VP-obstacle collision avoidance inter-VP connectivity preservation); 3) through remote human user can command all (or some) VPs'...

Nowadays, multi-robot systems are being utilized to perform agricultural tasks. It is particularly essential robotize pesticide spraying because of the risk poisoning workers. However, problem that human-driven sprayers big size, and difficult maneuver in many orchards. Therefore, heavy robots must be replaced with lighter robots. Also, it takes a lot times using only one sprayer large orchard. To achieve this goal, system (MRS) can applied by robot cooperation improve performance. In study,...

Incomplete communication networks (e.g., time delay and packet loss/switching) in haptic interaction remote teleoperation systems can degrade both user performance system stability. In this study, we hypothesized that human operator would decrease monotonically as network imperfections worsened. To test hypothesis, conducted two psychophysical experiments measuring the just-noticeable difference (JND), point of subjective equality (PSE), perception under varying conditions separation loss....

ABSTRACT Early detection of wasp hives is crucial for mitigating their impact on native species, preventing agricultural damage, and improving pest control strategies. Traditional methods rely ground surveys sensor‐based tracking individual insects, which are often labor‐intensive, time‐consuming, prone to errors because environmental constraints. The integration artificial intelligence drone‐based imaging has the potential revolutionize ecological monitoring by providing scalable,...

In this study, we propose a distributed swarm control algorithm for an agricultural multiple unmanned aerial vehicle system that enables single operator to remotely multi-unmanned system. The has two layers consist of teleoperation layer through which the inputs commands via haptic device and motion vehicles is controlled by algorithm. layer, controls desired velocity manipulating simultaneously receives feedback. consists following three inputs: (1) command, (2) formation obtain formation,...

The tracking of flying insects is one the main challenges in field ecosystem and biodiversity protection. In case invasive such as Asian hornets, extensive considerations must be made estimating habitat because limitations available sensors environmental uncertainty. this study, we propose an approach for localizing autonomously radio-tagged developing unmanned aerial vehicle (UAV)-based robotic system. extended Kalman filter applied to received signal strength emitted from a radio telemetry...