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20162026
most citedThe STRANDS Project: Long-Term Autonomy in Everyday Environments

197 citations · 234 across the 23 of their papers we have counts for

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6 papers · 1 filter

cs.RO2026

Online Navigation Planning for Long-term Autonomous Operation of Underwater Gliders

Victor-Alexandru Darvariu, Charlotte Z. Reed, Jan Stratmann +21

Underwater glider robots have become indispensable for ocean sampling, yet fully autonomous long-term operation remains rare in practice. Although stakeholders are calling for tool…

cs.RO2025

A Finite-State Controller Based Offline Solver for Deterministic POMDPs

Alex Schutz, Yang You, Matias Mattamala +3

Deterministic partially observable Markov decision processes (DetPOMDPs) often arise in planning problems where the agent is uncertain about its environmental state but can act and…

cs.RO2023★ 7 cited

Formal Modelling for Multi-Robot Systems Under Uncertainty

Charlie Street, Masoumeh Mansouri, Bruno Lacerda

Purpose of Review: To effectively synthesise and analyse multi-robot behaviour, we require formal task-level models which accurately capture multi-robot execution. In this paper, w…

cs.RO2021

Risk-Aware Motion Planning in Partially Known Environments

Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth +2

Recent trends envisage robots being deployed in areas deemed dangerous to humans, such as buildings with gas and radiation leaks. In such situations, the model of the underlying ha…

cs.RO2020

Active Inference for Integrated State-Estimation, Control, and Learning

Mohamed Baioumy, Paul Duckworth, Bruno Lacerda +1

This work presents an approach for control, state-estimation and learning model (hyper)parameters for robotic manipulators. It is based on the active inference framework, prominent…

cs.RO2016★ 197 cited

The STRANDS Project: Long-Term Autonomy in Everyday Environments

Nick Hawes, Chris Burbridge, Ferdian Jovan +30

Thanks to the efforts of the robotics and autonomous systems community, robots are becoming ever more capable. There is also an increasing demand from end-users for autonomous serv…