activity
20182026
most citedUNIK: A Unified Framework for Real-world Skeleton-based Action Recognition

24 citations · 46 across the 18 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

Gaussian Processes for Modelling Spatial Fields with Robot Swarms

Guillermo Legarda Herranz, Gianpiero Francesca, Mauro Birattari

Robot swarms, by virtue of their decentralised architecture, are a natural tool for scalable, robust modelling of spatial fields, such as water temperature, wind velocity, or terra…

cs.RO2026

Language-Based Swarm Perception: Decentralized Person Re-Identification via Natural Language Descriptions

Miquel Kegeleirs, Lorenzo Garattoni, Gianpiero Francesca +1

We introduce a method for decentralized person re-identification in robot swarms that leverages natural language as the primary representational modality. Unlike traditional approa…

cs.RO2024

Collective perception for tracking people with a robot swarm

Miquel Kegeleirs, David Garzón Ramos, Guillermo Legarda Herranz +7

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. Thei…

cs.RO2024

Leveraging swarm capabilities to assist other systems

Miquel Kegeleirs, David Garzón Ramos, Guillermo Legarda Herranz +6

Most studies in swarm robotics treat the swarm as an isolated system of interest. We argue that the prevailing view of swarms as self-sufficient, independent systems limits the sco…

cs.RO2023★ 2 cited

Automatic off-line design of robot swarms: exploring the transferability of control software and design methods across different platforms

Miquel Kegeleirs, David Garzón Ramos, Lorenzo Garattoni +2

Automatic off-line design is an attractive approach to implementing robot swarms. In this approach, a designer specifies a mission for the swarm, and an optimization process genera…