Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Soorati, Mohammad D."'
Multi-agent reinforcement learning is a key method for training multi-robot systems over a series of episodes in which robots are rewarded or punished according to their performance; only once the system is trained to a suitable standard is it deploy
Externí odkaz:
http://arxiv.org/abs/2410.14383
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 can be to a human in a shared environment without making the human uncom
Externí odkaz:
http://arxiv.org/abs/2409.01768
Autor:
Kelly, Thomas G., Soorati, Mohammad D., Zauner, Klaus-Peter, Ramchurn, Sarvapali D., Tarapore, and Danesh
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 mainly distributed whereas centralised control is widely used in other fie
Externí odkaz:
http://arxiv.org/abs/2408.02605
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 swarm is through collective behavior reconstruction using prior demonstrat
Externí odkaz:
http://arxiv.org/abs/2407.11592
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 multimodal robot controllers that can operate across different types of in
Externí odkaz:
http://arxiv.org/abs/2406.04086
Autor:
Abioye, Ayodeji O., Landowska, Aleksandra, Hunt, William, Maior, Horia, Ramchurn, Sarvapali D., Naiseh, Mohammad, Banks, Alec, Soorati, Mohammad D.
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 measurement of workload using functional near-infrared spectroscopy (fN
Externí odkaz:
http://arxiv.org/abs/2405.07834
Robot swarms offer the potential to bring several advantages to the real-world applications but deploying them presents challenges in ensuring feasibility across diverse environments. Assessing the feasibility of new tasks for swarms is crucial to en
Externí odkaz:
http://arxiv.org/abs/2405.07799
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 starting to be explored in a multimodal setup for communication, coordina
Externí odkaz:
http://arxiv.org/abs/2402.19166
Autor:
Abioye, Ayodeji O., Hunt, William, Gu, Yue, Schneiders, Eike, Naiseh, Mohammad, Fischer, Joel E., Ramchurn, Sarvapali D., Soorati, Mohammad D., Archibald, Blair, Sevegnani, Michele
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 circumstances. In this paper, we use predictive formal modelling (PFM) at run
Externí odkaz:
http://arxiv.org/abs/2401.11945
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 the need for human intervention, many safety-critical applications st
Externí odkaz:
http://arxiv.org/abs/2309.01269