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Cooperative navigation in robotic swarms

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Human-Robot Swarm Interaction: An Explorative Path to Foster Complex Systems Understanding

Hala Khodr

Order, regularities, and patterns are ubiquitous around us. A flock of birds maneuvering in the sky, the self-organization of social insects, a global pandemic or a traffic jam are examples of complex systems where the macroscopic patterns arise from the m ...

EPFL2023

An optimal planning algorithm enables swarms of flying robots to explore unknown environments autonomously and safely. ...

AMER ASSOC ADVANCEMENT SCIENCE2022

Hybrid Flock - Formation Control Algorithms

Alcherio Martinoli, Cyrill Silvan Baumann, Jonas Perolini, Emna Tourki

Two prominent categories for achieving coordinated multirobot displacement are flocking and navigation in formation. Both categories have their own body of literature and characteristics, including their respective advantages and disadvantages. While typic ...

2022

Cellulan World: Interactive Platform to Learn Swarm Behaviors

Pierre Dillenbourg, Barbara Bruno, Hala Khodr, Aditi Kothiyal

Swarming behaviors are ubiquitous in nature, and an important topic to teach and learn. In the learning sciences domain of complex systems understanding, studies have shown that novices tend to assume that centralized control and leadership should exist wh ...

IFAAMAS2022

Underwater soft robot modeling and control with differentiable simulation

Josephine Anna Eleanor Hughes

Underwater soft robots are challenging to model and control because of their high degrees of freedom and their intricate coupling with water. In this letter, we present a method that leverages the recent development in differentiable simulation coupled wit ...

Institute of Electrical and Electronics Engineers Inc.2021

Predictive control of aerial swarms in cluttered environments

Dario Floreano, Fabrizio Schiano, Enrica Soria

Classical models of aerial swarms often describe global coordinated motion as the combination of local interactions that happen at the individual level. Mathematically, these interactions are represented with potential fields. Despite their explanatory suc ...

2021

Measurement Scheduling for Cooperative Localization in Resource-Constrained Conditions

Qi Yan, Li Jiang

This letter studies the measurement scheduling problem for a group of

N

mobile robots moving on a flat surface that are preforming cooperative localization (CL). We consider a scenario in which due to the limited on-board resources such as battery life a ...

2020

SwarmLab: a MATLAB Drone Swarm Simulator

Dario Floreano, Fabrizio Schiano, Enrica Soria

Among the available solutions for drone swarm simulations, we identified a lack of simulation frameworks that allow easy algorithms prototyping, tuning, debugging and performance analysis. Moreover, users who want to dive in the research field of drone swa ...

2020

Robotics provides useful tools for educational purposes, allowing to engage students in learning within disparate domains, from computer science and artificial intelligence – traditionally the main domains for educational robotics – to general education, h ...

2019

Bidirectional interactions facilitate the integration of a robot into a shoal of zebrafish Danio rerio

Francesco Mondada, Frank Bonnet, Vaios Papaspyros, Bertrand Eric Collignon

Many studies on collective animal behavior seek to identify the individual rules that underlie collective patterns. However, it was not until the recent advancements of micro-electronic and embedded systems that scientists were able to create mixed groups ...

2019

Measurement Scheduling for Cooperative Localization in Resource-Constrained Conditions

Qi Yan, Li Jiang

This letter studies the measurement scheduling problem for a group of

N

mobile robots moving on a flat surface that are preforming cooperative localization (CL). We consider a scenario in which due to the limited on-board resources such as battery life a ...

2020