Too many cooks: Bayesian inference for coordinating multi‐agent collaboration
Collaboration requires agents to coordinate their behavior on the fly, sometimes cooperating
to solve a single task together and other times dividing it up into sub‐tasks to work on in …
to solve a single task together and other times dividing it up into sub‐tasks to work on in …
Too many cooks: Coordinating multi-agent collaboration through inverse planning
Collaboration requires agents to coordinate their behavior onthe fly, sometimes cooperating
to solve a single task togetherand other times dividing it up into sub-tasks to work on in par …
to solve a single task togetherand other times dividing it up into sub-tasks to work on in par …
Enhancing robot task completion through environment and task inference: A survey from the mobile robot perspective
In real-world environments, ranging from urban disastrous scenes to underground mining
tunnels, autonomous mobile robots are being deployed in harsh and cluttered …
tunnels, autonomous mobile robots are being deployed in harsh and cluttered …
Decentralised online planning for multi-robot warehouse commissioning
Warehouse commissioning is a complex task in which a team of robots needs to gather and
deliver items as fast and efficiently as possible while adhering to the constraint capacity of …
deliver items as fast and efficiently as possible while adhering to the constraint capacity of …
Simultaneous task allocation and planning under uncertainty
We propose novel techniques for task allocation and planning in multi-robot systems
operating in uncertain environments. Task allocation is performed simultaneously with …
operating in uncertain environments. Task allocation is performed simultaneously with …
Multi-agent architecture for information retrieval and intelligent monitoring by UAVs in known environments affected by catastrophes
The consequences of natural or man-made catastrophes can be devastating. To minimize its
impact, it is crucial to carry out a rapid analysis of the affected environment in the moments …
impact, it is crucial to carry out a rapid analysis of the affected environment in the moments …
Congestion-aware policy synthesis for multirobot systems
Multirobot systems must be able to maintain performance when robots get delayed during
execution. For mobile robots, one source of delays is congestion. Congestion occurs when …
execution. For mobile robots, one source of delays is congestion. Congestion occurs when …
Decentralized MCTS via learned teammate models
Decentralized online planning can be an attractive paradigm for cooperative multi-agent
systems, due to improved scalability and robustness. A key difficulty of such approach lies in …
systems, due to improved scalability and robustness. A key difficulty of such approach lies in …
Online planning for autonomous mobile robots with different objectives in warehouse commissioning task
Recently, multi-agent systems have become widespread as essential technologies for
various practical problems. An essential problem in multi-agent systems is collaborative …
various practical problems. An essential problem in multi-agent systems is collaborative …
A sufficient statistic for influence in structured multiagent environments
Making decisions in complex environments is a key challenge in artificial intelligence (AI).
Situations involving multiple decision makers are particularly complex, leading to …
Situations involving multiple decision makers are particularly complex, leading to …