25 citations · 35 across the 17 of their papers we have counts for
13 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,…
Mapping Safe Zones for Co-located Human-UAV Interaction
Ayodeji O. Abioye, Lisa Bidgood, Sarvapali D. Ramchurn +1
Recent advances in robotics bring us closer to the reality of living, co-habiting, and sharing personal spaces with robots. However, it is not clear how close a co-located robot ca…
Learning to Imitate Spatial Organization in Multi-robot Systems
Ayomide O. Agunloye, Sarvapali D. Ramchurn, Mohammad D. Soorati
Understanding collective behavior and how it evolves is important to ensure that robot swarms can be trusted in a shared environment. One way to understand the behavior of the swar…
Trade-offs of Dynamic Control Structure in Human-swarm Systems
Thomas G. Kelly, Mohammad D. Soorati, Klaus-Peter Zauner +2
Swarm robotics is a study of simple robots that exhibit complex behaviour only by interacting locally with other robots and their environment. The control in swarm robotics is main…
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…
Collective Decision-Making on Task Allocation Feasibility
Samratul Fuady, Danesh Tarapore, Shoaib Ehsan +1
Robot swarms offer the potential to bring several advantages to the real-world applications but deploying them presents challenges in ensuring feasibility across diverse environmen…
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…
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…
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…
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…