5 papers · 1 filter
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…
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,…
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…
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…