Name
Abstract | ||
|---|---|---|
When robots act in an environment, there will be temporal uncertainty over the execution of their actions, i.e. the duration of an action and the time it takes place will be stochastic. The presence of multiple robots in the environment contributes towards this uncertainty. Temporal uncertainty is often disregarded in multi-robot coordination, and so we aim to develop planning solutions that explicitly model this uncertainty to generate effective plans.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.5555/3398761.3399131 | AAMAS '19: International Conference on Autonomous Agents and Multiagent Systems
Auckland
New Zealand
May, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-7518-4 | 0 |
PageRank | References | Authors |
0.34 | 0 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Charlie Street | 1 | 0 | 1.69 |