activity
20232026
most citedDemonstrating Performance Benefits of Human-Swarm Teaming

3 citations · 6 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2026

Effects of Swarm Size Variability on Operator Workload

William Hunt, Aleksandra Landowska, Horia A. Maior +2

Real-world deployments of human--swarm teams depend on balancing operator workload to leverage human strengths without inducing overload. A key challenge is that swarm size is ofte…

cs.RO2025

HMCF: A Human-in-the-loop Multi-Robot Collaboration Framework Based on Large Language Models

Zhaoxing Li, Wenbo Wu, Yue Wang +3

Rapid advancements in artificial intelligence (AI) have enabled robots to performcomplex tasks autonomously with increasing precision. However, multi-robot systems (MRSs) face chal…

cs.RO2024

MARLIN: Multi-Agent Reinforcement Learning Guided by Language-Based Inter-Robot Negotiation

Toby Godfrey, William Hunt, Mohammad D. Soorati

Multi-agent reinforcement learning is a key method for training multi-robot systems. Through rewarding or punishing robots over a series of episodes according to their performance,…

cs.RO2024★ 1 cited

A Survey of Language-Based Communication in Robotics

William Hunt, Sarvapali D. Ramchurn, Mohammad D. Soorati

Embodied robots which can interact with their environment and neighbours are increasingly being used as a test case to develop Artificial Intelligence. This creates a need for mult…

cs.RO2024

Adaptive Human-Swarm Interaction based on Workload Measurement using Functional Near-Infrared Spectroscopy

Ayodeji O. Abioye, Aleksandra Landowska, William Hunt +5

One of the challenges of human-swarm interaction (HSI) is how to manage the operator's workload. In order to do this, we propose a novel neurofeedback technique for the real-time m…

cs.RO2024

Conversational Language Models for Human-in-the-Loop Multi-Robot Coordination

William Hunt, Toby Godfrey, Mohammad D. Soorati

With the increasing prevalence and diversity of robots interacting in the real world, there is need for flexible, on-the-fly planning and cooperation. Large Language Models are sta…

cs.RO2024★ 2 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.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.RO2023★ 3 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…