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20222026
most citedUnsupervised Representation Learning in Deep Reinforcement Learning: A Review

4 citations · 8 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

CAVEAT: Recurrent Multimodal Diffusion Planning for Mapless Aerial Exploration

Steven Visch, Nicolò Botteghi, Antonio Franchi +1

Can exploratory UAV waypoint sequences be generated from multimodal onboard observations and a fixed-dimensional recurrent internal state without maintaining a persistent global ma…

cs.RO2026

Flow-aware Optimal Navigation in Unsteady Flows through Reinforcement Learning

Andrea Maria Braghin, Nicolò Botteghi, Matteo Tomasetto +2

Autonomous robotic navigation in nonstationary time-varying fluid flows remains a fundamental challenge due to partial observability and the unpredictability of realistic environme…

cs.RO2026

Robust Co-design Optimisation for Agile Fixed-Wing UAVs

Adrian Andrei Buda, Xavier Chen, Nicolò Botteghi +1

Co-design optimisation of autonomous systems has emerged as a powerful alternative to sequential approaches by jointly optimising physical design and control strategies. However, e…

cs.RO2026

Interconnection and Damping Assignment Passivity-Based Control using Sparse Neural ODEs

Nicolò Botteghi, Owen Brook, Urban Fasel +1

Interconnection and Damping Assignment Passivity-Based Control (IDA-PBC) is a nonlinear control technique that assigns a port-Hamiltonian (pH) structure to a controlled system usin…

cs.RO2024★ 1 cited

Invisible Servoing: a Visual Servoing Approach with Return-Conditioned Latent Diffusion

Bishoy Gerges, Barbara Bazzana, Nicolò Botteghi +2

In this paper, we present a novel visual servoing (VS) approach based on latent Denoising Diffusion Probabilistic Models (DDPMs), that explores the application of generative models…