output
20032026
most citedLSTM: A Search Space Odyssey

7.1k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023 · cs.ROShow all

6 papers · 2 filters

cs.RO2023★ 15 cited

A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing

Lorenzo Lamberti, Elia Cereda, Gabriele Abbate +7

Autonomous drone racing competitions are a proxy to improve unmanned aerial vehicles' perception, planning, and control skills. The recent emergence of autonomous nano-sized drone…

cs.RO2023★ 25 cited

Self-Supervised Prediction of the Intention to Interact with a Service Robot

Gabriele Abbate, Alessandro Giusti, Viktor Schmuck +2

A service robot can provide a smoother interaction experience if it has the ability to proactively detect whether a nearby user intends to interact, in order to adapt its behavior…

cs.RO2023★ 9 cited

Predicting human motion intention for pHRI assistive control

Paolo Franceschi, Fabio Bertini, Francesco Braghin +3

This work addresses human intention identification during physical Human-Robot Interaction (pHRI) tasks to include this information in an assistive controller. To this purpose, hum…

cs.RO2023★ 10 cited

Modeling and analysis of pHRI with Differential Game Theory

Paolo Franceschi, Manuel Beschi, Nicola Pedrocchi +1

Applications involving humans and robots working together are spreading nowadays. Alongside, modeling and control techniques that allow physical Human-Robot Interaction (pHRI) are…

cs.RO2023★ 14 cited

Ultra-low Power Deep Learning-based Monocular Relative Localization Onboard Nano-quadrotors

Stefano Bonato, Stefano Carlo Lambertenghi, Elia Cereda +2

Precise relative localization is a crucial functional block for swarm robotics. This work presents a novel autonomous end-to-end system that addresses the monocular relative locali…

cs.RO2023★ 8 cited

Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs

Elia Cereda, Luca Crupi, Matteo Risso +5

Miniaturized autonomous unmanned aerial vehicles (UAVs) are an emerging and trending topic. With their form factor as big as the palm of one hand, they can reach spots otherwise in…