Single-Agent Indirect Herding of Multiple Targets With Uncertain Dynamics

Licitra, Ryan A.; Bell, Zachary I.; Dixon, Warren E.

doi:10.1109/tro.2019.2911799

Cited by 28 publications

(14 citation statements)

References 31 publications

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“…With regard to a single herder agent gathering one-byone a group of passive agents, recent work by Licitra et al (2017) employed a backstepping control strategy for the single herder to chase one target at a time, with the herder switching among different targets and succeeding in collecting them within a goal region of interest. This idea was further developed in Licitra et al (2018Licitra et al ( , 2019 where other control strategies and further uncertainties in the herd's dynamics were investigated.…”

Section: Related Workmentioning

confidence: 99%

“…Notable herding solutions are those proposed in Vaughan et al (2000), Lien et al (2004), Strombom et al (2014), Paranjape et al (2018), Licitra et al (2019) for single herders and in Lien et al (2005), Haque et al (2009), Lee and Kim (2017), Pierson and Schwager (2018), Nalepka et al (2017b), Montijano et al (2013), Varava et al (2017), Song et al (2021), Chipade and Panagou (2019), Sebastián and Montijano (2021) for multiple herders.…”

Section: Introductionmentioning

confidence: 97%

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Herding stochastic autonomous agents via local control rules and online target selection strategies

et al. 2022

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We propose a simple yet effective set of local control rules to make a small group of “herder agents” collect and contain in a desired region a large ensemble of non-cooperative, non-flocking stochastic “target agents” in the plane. We investigate the robustness of the proposed strategies to variations of the number of target agents and the strength of the repulsive force they feel when in proximity of the herders. The effectiveness of the proposed approach is confirmed in both simulations in ROS and experiments on real robots.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Herding stochastic autonomous agents via local control rules and online target selection strategies

et al. 2022

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“…In that case, the superior government will punish it severely, so that the additional income gained by the project owner in negative supervision is less than the penalty loss suffered, i.e., b − < l sr lr go C C P . According to the Lyapunov indirect method, when all eigenvalues of the Jacobian matrix are less than 0, the equilibrium point is the evolutionary stable strategy (Deptula et al, 2018;Licitra et al, 2019). According to the Jacobian matrix, the eigenvalues of eight partial equilibrium points can be solved and the attributes are judged accordingly.…”

Section: The Mixed Stability Strategy Of the Game Playersmentioning

confidence: 99%

Evolutionary Game Analysis for Rent-Seeking Behavior Supervision of Major Infrastructure Projects Based on Prospect Theory

Wang

et al. 2021

Journal of Civil Engineering and Management

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Major infrastructure projects (MIPs) possess significant strategic positions in the national economy and social development. However, recently, the rent-seeking behavior between supervision units and project contractors has intensified in project construction. This paper aims to study the behavior decision-making of stakeholders in rent-seeking behavior supervision system of MIPs. In the complex and uncertain environment of MIPs, game players have cognitive bias and value perception preference. Therefore, this study introduced prospect theory and constructed the perceived return matrix and evolutionary game model of MIP rent-seeking behavior supervision among project owners, supervision units, and project contractors. From the perspective of risk perception theory, the reasons for the behavioral tendencies of game participants and the conditions for the steady state of strategy selection were explored through system dynamics simulations. The results showed that the stable state of the optimal strategy in the rent-seeking behavior supervision system of MIPs is related to the cognitive bias of the game players and is influenced by the level of regulation cost, the intensity of punishment and the size of accident losses. The contribution of this study lies in providing theoretical basis and decision support for constructing a long-term preventive mechanism for rent-seeking activities in MIPs.

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“…To answer these two questions, many attempts have been made to obtain a better understanding of how a single agent can interact with a group of other agents and how groups of herds can be maneuvered to their desired location. Single-agent indirect herding problems with uncertain dynamics has been solved in [9], where the target agents can be regulated to some desired formation. However, in this work it is assumed that there is no interaction between the target agents.…”

Section: Introductionmentioning

confidence: 99%

Occlusion-Based Coordination Protocol Design for Autonomous Robotic Shepherding Tasks

Turgut

Krajník

et al. 2022

IEEE Trans. Cogn. Dev. Syst.

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The robotic shepherding problem has earned significant research interest over the last few decades due to its potential application in precision agriculture. In this paper, we first modeled the sheep flocking behavior using adaptive protocols and artificial potential field methods. Then we designed a coordination algorithm for the robotic dogs. An occlusion-based motion control strategy was proposed to herd the sheep to the desired location. Compared to formation based techniques, the proposed control strategy provides more flexibility and efficiency when herding a large number of sheep. Simulation and labbased experiments, using real robots and global vision-based tracking system, were carried out to validate the effectiveness of the proposed approach.

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Single-Agent Indirect Herding of Multiple Targets With Uncertain Dynamics

Cited by 28 publications

References 31 publications

Herding stochastic autonomous agents via local control rules and online target selection strategies

Herding stochastic autonomous agents via local control rules and online target selection strategies

Evolutionary Game Analysis for Rent-Seeking Behavior Supervision of Major Infrastructure Projects Based on Prospect Theory

Occlusion-Based Coordination Protocol Design for Autonomous Robotic Shepherding Tasks

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