3 citations · 6 across the 9 of their papers we have counts for
5 papers · 1 filter
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,…
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…
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…
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…
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…