activity
20222024
most citedDemonstrating Performance Benefits of Human-Swarm Teaming

3 citations · 11 across the 9 of their papers we have counts for

collaborators

9 papers

cs.AI20241 cited

The Strain of Success: A Predictive Model for Injury Risk Mitigation and Team Success in Soccer

Gregory Everett, Ryan Beal, Tim Matthews +2

In this paper, we present a novel sequential team selection model in soccer. Specifically, we model the stochastic process of player injury and unavailability using player-specific…

cs.RO20242 cited

The Effect of Predictive Formal Modelling at Runtime on Performance in Human-Swarm Interaction

Ayodeji O. Abioye, William Hunt, Yue Gu +7

Formal Modelling is often used as part of the design and testing process of software development to ensure that components operate within suitable bounds even in unexpected circums…

cs.RO2023

Outlining the design space of eXplainable swarm (xSwarm): experts perspective

Mohammad Naiseh, Mohammad D. Soorati, Sarvapali Ramchurn

In swarm robotics, agents interact through local roles to solve complex tasks beyond an individual's ability. Even though swarms are capable of carrying out some operations without…

cs.HC2023

The Effect of Data Visualisation Quality and Task Density on Human-Swarm Interaction

Ayodeji O. Abioye, Mohammad Naiseh, William Hunt +3

Despite the advantages of having robot swarms, human supervision is required for real-world applications. The performance of the human-swarm system depends on several factors inclu…

cs.RO20233 cited

Demonstrating Performance Benefits of Human-Swarm Teaming

William Hunt, Jack Ryan, Ayodeji O. Abioye +2

Autonomous swarms of robots can bring robustness, scalability and adaptability to safety-critical tasks such as search and rescue but their application is still very limited. Using…

cs.LG20231 cited

Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations

Gregory Everett, Ryan J. Beal, Tim Matthews +3

Understanding agent behaviour in Multi-Agent Systems (MAS) is an important problem in domains such as autonomous driving, disaster response, and sports analytics. Existing MAS prob…