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Swarm perception refers to the ability of a robot swarm to utilize the perception capabilities of each individual robot, forming a collective understanding of the environment. Their distributed nature enables robot swarms to continuously…

The movement of organisms is subject to a multitude of influences of widely varying character: from the bio-mechanics of the individual, over the interaction with the complex environment many animals live in, to evolutionary pressure and…

Biological Physics · Physics 2013-07-18 Friedrich Lenz , Aleksei V. Chechkin , Rainer Klages

Automated tracking of animal movement allows analyses that would not otherwise be possible by providing great quantities of data. The additional capability of tracking in realtime - with minimal latency - opens up the experimental…

Computer Vision and Pattern Recognition · Computer Science 2023-02-01 Andrew D. Straw , Kristin Branson , Titus R. Neumann , Michael H. Dickinson

We model and analyze a herding problem, where the drivers try to steer the evaders' trajectories while the evaders always move away from the drivers. This problem is motivated by the guidance-by-repulsion model [Escobedo, R., Iba\~nez, A.…

Optimization and Control · Mathematics 2019-11-05 Dongnam Ko , Enrique Zuazua

We propose a novel computational method to extract information about interactions among individuals with different behavioral states in a biological collective from ordinary video recordings. Assuming that individuals are acting as finite…

Multiagent Systems · Computer Science 2017-10-03 Hiroki Sayama , Farnaz Zamani Esfahlani , Ali Jazayeri , J. Scott Turner

Swarm guidance addresses a challenging problem considering the navigation and control of a group of passive agents. To solve this problem, shepherding offers a bio-inspired technique of navigating such group of agents by using external…

Systems and Control · Electrical Eng. & Systems 2022-05-18 Aiyi Li , Masaki Ogura , Naoki Wakamiya

This paper studies the tracking control problem for nonholonomic mobile robots based on second order dynamics, with application to consensus tracking and formation tracking. The greatest novelty in this paper is that the reference…

Systems and Control · Electrical Eng. & Systems 2019-12-30 Xiaodong He , Zhiyong Geng

The schooling behavior of fish is hypothesized to confer many survival benefits, including foraging success, safety from predators, and energy savings through hydrodynamic interactions when swimming in formation. Underwater robot…

Robotics · Computer Science 2024-10-31 Di Ni , Hungtang Ko , Radhika Nagpal

Collective animal movements produce spectacular natural phenomena that arise from simple local interactions among group members. Flocks of homing pigeons, Columba livia, provide a useful model for the study of collective motion and decision…

Biological Physics · Physics 2016-10-26 Andrea Flack , Zsuzsa Ákos , Máté Nagy , Tamás Vicsek , Dora Biro

We discuss various features of the trajectories of spider monkeys looking for food in a tropical forest, as observed recently in an extensive {\it in situ} study. Some of the features observed can be interpreted as the result of social…

Disordered Systems and Neural Networks · Physics 2009-11-10 D. Boyer , O. Miramontes , G. Ramos-Fernández , J. L. Mateos , G. Cocho

For group-living animals, reaching consensus to stay cohesive is crucial for their fitness, particularly when collective motion starts and stops. Understanding the decision-making at individual and collective levels upon sudden disturbances…

Biological Physics · Physics 2017-02-08 Sylvain Toulet , Jacques Gautrais , Richard Bon , Fernando Peruani

In natural foraging, many organisms seem to perform two different types of motile search: directed search (taxis) and random search. The former is observed when the environment provides cues to guide motion towards a target. The latter…

Statistical Mechanics · Physics 2017-12-27 Łukasz Kuśmierz , Taro Toyoizumi

When working alongside human collaborators in dynamic and unstructured environments, such as disaster recovery or military operation, fast field adaptation is necessary for an unmanned ground vehicle (UGV) to perform its duties or learn…

Robotics · Computer Science 2022-05-09 Maggie Wigness , John G. Rogers , Luis E. Navarro-Serment

We use Reinforcement Meta-Learning to optimize an adaptive integrated guidance, navigation, and control system suitable for exoatmospheric interception of a maneuvering target. The system maps observations consisting of strapdown seeker…

Systems and Control · Electrical Eng. & Systems 2021-12-14 Brian Gaudet , Roberto Furfaro , Richard Linares , Andrea Scorsoglio

Studies of social and group behavior in interacting organisms require high-throughput analysis of the motion of a large number of individual subjects. Computer vision techniques offer solutions to specific tracking problems, and allow…

Quantitative Methods · Quantitative Biology 2015-06-12 Yi Deng , Philip Coen , Mingzhai Sun , Joshua W. Shaevitz

Flocking behavior of multiple agents can be widely observed in nature such as schooling fish and flocking birds. Recent literature has proposed the possibility that flocking is possible even only a small fraction of agents are informed of…

Chaotic Dynamics · Physics 2009-05-08 Jin Zhou , Wenwu Yu , Xiaoqun Wu , Michael Small , Jun-an Lu

Many robotic systems allow independent control of position and orientation (pose), including omnidirectional aerial vehicles, underwater robots, and manipulator end-effectors. In many applications, these systems must follow a continuous…

Robotics · Computer Science 2026-05-27 Felipe Bartelt , Luciano C. A. Pimenta , Weijia Yao , Vinicius M. Gonçalves

Although extensive behavioral changes often exist between closely related animal species, our understanding of the genetic basis underlying the evolution of behavior has remained limited. Here, we propose a new framework to study behavioral…

Populations and Evolution · Quantitative Biology 2020-07-21 Damián G. Hernández , Catalina Rivera , Jessica Cande , Baohua Zhou , David L. Stern , Gordon J. Berman

Coordinated multi-robot navigation is essential for robots to operate as a team in diverse environments. During navigation, robot teams usually need to maintain specific formations, such as circular formations to protect human teammates at…

The cooperation of a human pilot with an autonomous agent during flight control realizes parallel autonomy. We propose an air-guardian system that facilitates cooperation between a pilot with eye tracking and a parallel end-to-end neural…