Difficulty-aware time-bounded planning under uncertainty for large-scale robot missions
We consider planning problems where a robot must visit a large set of locations to complete a task at each one. Our focus is problems where the difficulty of each task, and thus its duration, can be predicted, but not fully known in advance. We propose a general Markov decision process (MDP) model f...
Main Authors: | Staniaszek, M, Brudermüller, L, Bhattacharyya, R, Lacerda, B, Hawes, N |
---|---|
פורמט: | Conference item |
שפה: | English |
יצא לאור: |
IEEE
2023
|
פריטים דומים
-
Time-bounded large-scale mission planning under uncertainty for UV disinfection
מאת: Brudermüller, L, et al.
יצא לאור: (2022) -
Time-bounded planning with uncertain task duration distributions
מאת: Staniaszek, M, et al.
יצא לאור: (2025) -
Context-aware modelling for multi-robot systems under uncertainty
מאת: Street, C, et al.
יצא לאור: (2022) -
Multi-robot planning under uncertainty with congestion-aware models
מאת: Street, C, et al.
יצא לאור: (2020) -
Planning under uncertainty for safe robot exploration using Gaussian process prediction
מאת: Stephens, A, et al.
יצא לאור: (2024)