Deep reinforcement learning (DRL) has seen remarkable success in the con...
We present an approach to task scheduling in heterogeneous multi-robot
s...
Collective perception is a foundational problem in swarm robotics, in wh...
Collective behaviors are typically hard to model. The scale of the swarm...
The aim of this paper is to study how to apply deep reinforcement learni...
The demining of landmines using drones is challenging; air-releasable
pa...
Ants have evolved to seek and retrieve food by leaving trails of pheromo...
In this paper, we investigate how to design an effective interface for r...
How can multiple humans interact with multiple robots? The goal of our
r...
Transparency is a key factor in improving the performance of human-robot...
In this paper, we propose an approach to the distributed storage and fus...
In this paper, we show how the Federated Learning (FL) framework enables...
We present a novel concept of a heterogeneous, distributed platform for
...
Due to the potentially large number of units involved, the interaction w...
We present an approach to the distributed storage of data across a swarm...
Recent advances in 3D printing and manufacturing of miniaturized robotic...
We present a decentralized algorithm to achieve segregation into an arbi...
We present an augmented reality human-swarm interface that combines two
...
We present a decentralized and scalable approach for deployment of a rob...
Dynamical systems theory and complexity science provide powerful tools f...