Stigmergic potential fields. To solve drones to visit a potential target.

Stigmergic potential fields. Those approaches coordinated vehicle actions through negotiation among swarm members or supervisory control designed to address mission objectives. Computational modeling and experimental modulation of these processes have largely focused on a discrete, localized view of cells and intercellular networks determining spatio-temporal patterns of resting membrane potential (Vmem) within tissues. Jan 1, 2012 · We achieve this control through stigmergic potential fields, a form of cooperative motor schema behavior based upon mathematical functions that are associated with entities in the operational Abstract—With the rapid evolution of wireless mobile devices, there emerges an increased need to design effective collaboration mechanisms between intelligent agents, so as to gradually ap-proach the final collective objective through continuously learning from the environment based on their individual observations. DCF is a form of potential field control. Aug 1, 2019 · Synthesizing artificial pheromone potential fields from all place agents can form a global pheromone map, which contains all information about the current environment and needs to be updated in Jul 28, 2018 · Potential Fields generated in a 2D Space The algorithm assigns an artificial potential field to every point in the world using the potential field functions which will be described further in the In the previous sections we showed how the ghosts of the infrastructure polyagents create a rich information environment across space (rTAEMS graph) and time (up to the forecast horizon) based on global quality improvement potential and method deadlines resulting in localized urgency fields at the method nodes. As an exam- ple, in [8] a stigmergic architecture has been proposed to perform adaptive context- aware aggregation. To solve drones to visit a potential target. Engineers have drawn inspiration from stigmergy to establish strategies for In [32], swarm behavior that can develop collaborative tasks through sematectonic stigmergy is presented. In this paper, a stigmergic strategy will be proposed for the swarm robots system to accomplish the dynamic target searching and tracking. Mission-Level Autonomy MLA is a decentralized approach in which the opera- tor specifies the mission objectives and prioritization, and the UASs self-configure to achieve the mission objectives. In addition, coordination of behaviors among robotic vehicles in a swarm is greatly enhanced by exploitation of information acquired by all members of the group These projects represent a variety of approaches to uAV swarming, including teaming, consensus variables, and stigmergic potential fields. The use of stigmergic potential fields (SPF) and distributed control algorithms to realize adaptive, cooperative behaviors within the context of feature-rich GPS-denied environments is the focus of this paper. Agents that respond to traces in the environment receive positive fitness benefits These features make StiCo an interesting alternative to graph-based multi-robot coverage approaches which currently are dominant in the field. Swarming unmanned ground and aerial vehicles can achieve militarily effective cooperative action autonomously, using reactive, effects-based behaviors and broadcast-only, decentralized communications. During the scenario, the convoy received an intelligence report of a potential threat location. Jan 10, 2011 · [23] discuss a theoretical approach to the use of stigmergy in UAVs using stigmergic potential fields. Engineers have drawn inspiration from stigmergy to establish strategies for the This work has demonstrated empirically, as well as through hardware-in-the-loop testing, how reactive swarming behaviors using stigmergic potential fields can offer robustly sufficient behavior with improved total system survivability and total operational effectiveness, particularly under dynamic environmental and operational conditions. Download scientific diagram | Heart rate processed by SP, subject B from publication: Sleep behavior assessment via smartwatch and stigmergic receptive fields | Sleep behavior is a key factor in Jul 29, 2024 · Uncrewed Aerial Vehicles (UAVs) are increasingly deployed across various domains due to their versatility in navigating three-dimensional spaces. Their experiments featured simulated sensors and plumes. Sep 29, 2025 · mem patterns in the bulk. Stigmergic potential fields, in the most basic terms, are a system of uphill and downhill potentials that guide the UAVs to their destination. , a mixture of attractive and repulsive) fields to synchronize movement and allocate tasks among the swarm. Abstract—With the rapid evolution of wireless mobile devices, there emerges an increased need to design effective collaboration mechanisms between intelligent agents, so as to gradually ap-proach the final collective objective through continuously learning from the environment based on their individual observations. Moreover, because of these features StiCo has a broad application potential. Figure 7 shows a snapshot with the spatial arrangement of flocks of different forms and sizes, together with four stigmergic formations on corresponding groups of targets. Aug 18, 2008 · We achieve this control through stigmergic potential fields, a form of cooperative motor schema behavior based upon mathematical functions that are associated with entities in the operational This work has demonstrated empirically, as well as through hardware-in-the-loop testing, how reactive swarming behaviors using stigmergic potential fields can offer robustly sufficient behavior with improved total system survivability and total operational effectiveness, particularly under dynamic environmental and operational conditions. In this regard, independent reinforcement learning (IRL) is often deployed Oct 10, 2012 · These features make StiCo an interesting alternative to graph-based multi-robot coverage approaches which currently are dominant in the field. e. As you may already suspect, this means that we may calculate the electric field by taking derivatives of the … The trailing process is inspired by stigmergy, an insects’ coordination mechanism, and is managed by computational units called stigmergic receptive fields (SRFs). We achieve this control through stigmergic potential fields, a form of cooperative motor Effective employment of autonomous multi-vehicle control can meet a critical need in today's military. [1] The principle is that the trace left in the environment by an individual action stimulates the performance of a succeeding action by the same or different agent. The techniques are refined, then packaged for mass release. Not only is stigmergy of potential importance for our understanding of the evolution and maintenance of sociality in animals, from communally breeding species to highly eusocial insects, it may also turn out to be a crucial concept in other fields, such as artificial intelligence, robotics, or the social, political and economic sciences, to Practical realization of autonomous multi-vehicle control in feature rich GPS-denied areas requires that agents possess the capability to generate and share maps with detail adequate for successful operation in complex environments. Although its high potential, demonstrated by the use of stigmergy in biological systems at diverse scales, the use of stigmergy for pattern recognition and data classification is currently poorly investigated. This paper introduces a novel decentralized swarm control strategy for multi-UAV systems engaged in Using stigmergic potential fields, a completely decentralized process inspired by both insect colonies and charged particles, the vehicles in the swarm collaborate to fulfill the operators' tasking. . Effective employment of autonomous multi-vehicle control can meet a critical need in today's military. These projects represent a variety of approaches to UAV swarming, including teaming, consensus variables, and stigmergic potential fields. A key component of these investigations has been ongoing flight tests, which are being used to develop implementation strate-gies for migration to operational systems, as well as dem Effective employment of autonomous multi-vehicle control can meet a critical need in today's military. Oct 1, 2019 · These robots cooperate indirectly in a stigmergic way by decoding and leaving traces in the environment [14]. This work has demonstrated empirically, as well as through hardware-in-the-loop testing, how reactive swarming behaviors using stigmergic potential fields can offer robustly sufficient behavior with improved total system survivability and total operational effectiveness, particularly under dynamic environmental and operational conditions. Jul 10, 2003 · The use of stigmergic potential fields (SPF) and distributed control algorithms to realize adaptive, cooperative behaviors within the context of feature-rich GPS-denied environments is the focus This work has demonstrated empirically, as well as through hardware-in-the-loop testing, how reactive swarming behaviors using stigmergic potential fields can offer robustly sufficient behavior with improved total system survivability and total operational effectiveness, particularly under dynamic environmental and operational conditions. To protect the convoy, APL created a road network search behav- ior for the hunter Raven’s fixed, side-looking camera. Jul 6, 2015 · As a consequence, pheromone intensity creates a spatiotemporal attractive potential field coordinating a swarm of drones to visit a potential target. Federico Galatolo showed that a stigmergic memory can achieve the same performances of more complex and well established neural networks architectures like LSTM. We achieve this control through stigmergic potential fields, a form of cooperative motor OPISR’s autonomous unmanned vehicles use an approach called dynamic co-fields (DCF), also known as stigmergic potential fields, to generate movement and control actions. Stigmergy occurs when a drone releases digital pheromone upon sensing of a potential target. Additionally, this study contributes to the broader field of AI in education by exploring the potential of generative AI models to The trailing process is inspired by stigmergy, an insects' coordination mechanism, and is managed by computational units called stigmergic receptive fields (SRFs). OPISR’s autonomous unmanned vehicles use an approach called dynamic co-fields (DCF), also known as stigmergic potential fields, to generate movement and control actions. A series of experiments was conducted from 2001 through 2005 to demonstrate these concepts, and research in this area is ongoing. The trailing process is inspired by stigmergy, an insects’ coordination mechanism, and is managed by computational units called stigmergic receptive fields (SRFs). Interestingly, the stigmergic model recapitulates the qualitative developmental sequence of the bioelectric craniofacial prepattern observed in frog embryos. The utilization of UAV swarms further enhances the efficiency of mission execution through collaborative operation and shared intelligence. Apr 19, 2005 · The use of stigmergic potential fields (SPF) and distributed control algorithms to realize adaptive, cooperative behaviors within the context of feature-rich GPS-denied environments is the focus Jan 1, 2006 · Bamberger et al. Sep 4, 2024 · Stigmergy, the indirect communication between agents of a swarm through dynamic environmental modifications, is a fundamental self-organization mechanism of animal swarms. Levels of cognitive "busyness" stigmergic potential fields criteria of journals experimental design 6 of 38 Definition compare human management to autonomous, NASATLX cognitive workload criteria of journals recommendations general recommendations experimental design 7 of 38 Term humans are more effective than swarms at integrating varied data points, selecting a correct target, and predicting Nov 9, 2011 · Moore spoke of the stigmergic potential fields that are the key to the autonomous nature of the project's research aircraft. Mar 22, 2005 · Effective employment of autonomous multi-vehicle control can meet a critical need in today's military. Simulation results are shown which clearly demonstrate the strong coverage abilities of StiCo in different environmental settings. To implement this type of communication it is assumed that we have a local positioning mechanism such as used in [34] and a efficient system of communication between individuals, as could be the use of mesh networks of XBEEs devices [35]. [11][12] STIGMERGIC POTENTIAL FIELDS APPROACH stigmergy represents a fundamentally different approach to uAV swarming than the consensus vari-ables or simple teaming concepts. By capturing data from the smartwatch's built-in sensors, the system can provide Jan 1, 2014 · OPISR’s autonomous unmanned vehicles use dynamic co-fields (DCF), also known as stigmergic potential fields, to generate movement and control actions. Simulation Download scientific diagram | A snapshot of the Field scenario with flocks and stigmergic formations from publication: Swarm coordination of mini-UAVs for target search using imperfect sensors Jan 1, 2006 · The use of stigmergic potential fields (SPF) and distributed control algorithms to realize adaptive, cooperative behaviors within the context of feature-rich GPS-denied environments is the focus Jan 1, 2017 · Swarms using stigmergic potential fields are more closely modeled after biological swarms and are designed to respond quickly (rather than optimally) to changing events by using attractive, repulsive, or complex (i. We achieve this control through stigmergic potential fields, a form of cooperative motor Control is achieved through the use of stigmergic potential fields, a form of cooperative motor schema behavior based upon mathematical functions that are associated with entities in the operational environment of the vehicle. Flocking occurs when drones are spatially organized into groups, whose members have approximately the same heading, and attempt to remain in range between them, for each group. It uses the coordination rules of the S-MASA (Stigmergic Multi-Ant Search Area) algorithm to (i) speed up the search process and (ii) allow agents to build an optimal Artificial Potential Field Mar 3, 2025 · In certain systems, we can calculate the potential by integrating over the electric field. [24] proposed a stigmergic potential field approach for coordination between UAVs. Moreover, this algorithm does not require any prior information about the environment. Two models optimized in this way exhibit contrasting ‘‘mosaic’’ and ‘‘stigmergic’’ pattern-coding strategies, depending on their field sensitivity strengths. behaviors using stigmergic potential fields, in which an individual vehicle operates in a locally-held model of that vehicle and its environment, and the vehicles and their behaviors are modeled in a hierarchical organization. These results highlight the potential Stigmergy, the indirect communication between agents of a swarm through dynamic environmental modifications, is a fundamental self-organization mechanism of animal swarms. We achieve this control through stigmergic potential fields, a form of cooperative motor Jan 8, 2018 · In essence, coordination can be achieved by combining stigmergic and flocking behaviors. Both of the JHU/APL efforts studied teams Framing and the stigmergic learning potential of propagandaIn both cases, each rely on various groups innovating and trying varying methods of attack, the communicating their effectiveness back to other groups who share their aims. In the field of artificial neural networks, stigmergy can be used as a computational memory. ref. We achieve this control through stigmergic potential fields, a form of cooperative motor Nov 9, 2011 · Moore spoke of the stigmergic potential fields that are the key to the autonomous nature of the project's research aircraft. Jan 1, 2015 · We achieve this control through stigmergic potential fields, a form of cooperative motor schema behavior based upon mathematical functions that are associated with entities in the operational This work has demonstrated empirically, as well as through hardware-in-the-loop testing, how reactive swarming behaviors using stigmergic potential fields can offer robustly sufficient behavior with improved total system survivability and total operational effectiveness, particularly under dynamic environmental and operational conditions. As a consequence, pheromone intensity creates a spatiotemporal attractive potential field coordinating a swarm of drones to visit a potential target. Jun 4, 2012 · We demonstrate the realization of stigmergic coverage for multi-robot systems. It is constant refinement based on the ability for fast feedback AND, a As a consequence, pheromone intensity creates a frequently lead to exponential increases in communication spatiotemporal attractive potential field coordinating a swarm of bandwidth requirements and software complexity [2]. This paper introduces a novel decentralized swarm control strategy for multi-UAV systems engaged in The anticipated outcomes of this research include insights into the effectiveness of integrating gestalt theory, generative AI, and stigmergic schema in improving learning outcomes, as well as recommendations for instructional design and implementation strategies. Here we characterize novel contributions Effective employment of autonomous multi-vehicle control can meet a critical need in today's military. [33] discusses a theoretical approach to the use of stigmergy in UAVs using stigmergy potential fields. Why "Stigmergic"? Stigmergy—from Greek stigma (mark) and ergon (work)—describes how termites coordinate through the traces they leave behind, how markets organize through price signals, how complex structures emerge from simple local interactions without central planning. The behaviors are developed as Effects Based Operations (EBO) [20]. Control is achieved through the use of stigmergic potential fields, a form of cooperative motor schema behavior based upon mathematical functions that are associated with entities in the operational environment of the vehicle. Engineers have drawn inspiration from stigmergy to establish strategies for Aug 14, 2025 · The use of stigmergic potential fields (SPF) and distributed control algorithms to realize adaptive, cooperative behaviors within the context of feature-rich GPS-denied environments is the focus of this paper. The UASs use stigmergic potential fields to coordinate movement, tasks, and flight mode transition. [23] discuss a theoretical approach to the use of stigmergy in UAVs using stigmergic potential fields. In particular, it does not need direct robot-robot communication. Stigmergy (/ ˈstɪɡmərdʒi / STIG-mər-jee) is a mechanism of indirect coordination, through the environment, between agents or actions. Stigmergy, the indirect communication between agents of a swarm through dynamic environmental modifications, is a fundamental self-organization mechanism of animal swarms. The hunter search area automatically moved along the road network ahead of the convoy position. SRFs, which compute the similarity between trails, are arranged in a stigmergic perceptron to detect a collection of micro-behaviours of the raw signal, called archetypes. Abstract Bioelectric communication among cells plays an important role in numerous morphogenetic processes. We achieve this control through stigmergic potential fields, a form of cooperative motor This work has demonstrated empirically, as well as through hardware-in-the-loop testing, how reactive swarming behaviors using stigmergic potential fields can offer robustly sufficient behavior with improved total system survivability and total operational effectiveness, particularly under dynamic environmental and operational conditions. Jan 11, 2021 · Request PDF | Towards engineering manufacturing systems for mass personalisation: a stigmergic approach | Mass personalisation is characterised by unpredicted changes in product design and Apr 1, 2018 · Another study explores the use of smartwatches and stigmergic receptive fields for assessing sleep behavior [26]. Compared to current state-of-the-art algorithms for multi-robot coverage, our Stigmergy-based Coverage algorithm (StiCo) has several key advantages. We achieve this control through stigmergic potential fields, a form of cooperative motor These concepts include a simple teaming arrangement, the use of consensus variables, and the use of stigmergic (i. Then the process is repeated. , biologically inspired) potential fields. hj s6 esvf jft pct gr8 o7g 71l nv8a96jm sri