248 citations · 416 across the 27 of their papers we have counts for
9 papers · 1 filter
Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification
Joseph Early, Ying-Jung Deweese, Christine Evers +1
Land cover classification (LCC), and monitoring how land use changes over time, is an important process in climate change mitigation and adaptation. Existing approaches that use ma…
From Intelligent Agents to Trustworthy Human-Centred Multiagent Systems
Mohammad Divband Soorati, Enrico H. Gerding, Enrico Marchioni +9
The Agents, Interaction and Complexity research group at the University of Southampton has a long track record of research in multiagent systems (MAS). We have made substantial sci…
Industry Led Use-Case Development for Human-Swarm Operations
Jediah R. Clark, Mohammad Naiseh, Joel Fischer +6
In the domain of unmanned vehicles, autonomous robotic swarms promise to deliver increased efficiency and collective autonomy. How these swarms will operate in the future, and what…
Collective Decision Making in Communication-Constrained Environments
Thomas G. Kelly, Mohammad Divband Soorati, Klaus-Peter Zauner +2
One of the main tasks for autonomous robot swarms is to collectively decide on the best available option. Achieving that requires a high quality communication between the agents th…
Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning
Joseph Early, Tom Bewley, Christine Evers +1
We generalise the problem of reward modelling (RM) for reinforcement learning (RL) to handle non-Markovian rewards. Existing work assumes that human evaluators observe each step in…
Resilient robot teams: a review integrating decentralised control, change-detection, and learning
David M. Bossens, Sarvapali Ramchurn, Danesh Tarapore
Purpose of review: This paper reviews opportunities and challenges for decentralised control, change-detection, and learning in the context of resilient robot teams. Recent finding…