1 citations · 1 across the 5 of their papers we have counts for
5 papers
Learning to View: Decision Transformers for Active Object Detection
Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande +4
Active perception describes a broad class of techniques that couple planning and perception systems to move the robot in a way to give the robot more information about the environm…
Distributed Data Storage and Fusion for Collective Perception in Resource-Limited Mobile Robot Swarms
Nathalie Majcherczyk, Daniel Jeswin Nallathambi, Tim Antonelli +1
In this paper, we propose an approach to the distributed storage and fusion of data for collective perception in resource-limited robot swarms. We demonstrate our approach in a dis…
Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot Systems
Nathalie Majcherczyk, Nishan Srishankar, Carlo Pinciroli
In this paper, we show how the Federated Learning (FL) framework enables learning collectively from distributed data in connected robot teams. This framework typically works with c…
SwarmMesh: A Distributed Data Structure for Cooperative Multi-Robot Applications
Nathalie Majcherczyk, Carlo Pinciroli
We present an approach to the distributed storage of data across a swarm of mobile robots that forms a shared global memory. We assume that external storage infrastructure is absen…
Decentralized Connectivity-Preserving Deployment of Large-Scale Robot Swarms
Nathalie Majcherczyk, Adhavan Jayabalan, Giovanni Beltrame +1
We present a decentralized and scalable approach for deployment of a robot swarm. Our approach tackles scenarios in which the swarm must reach multiple spatially distributed target…