Presents a causal inference framework for autonomous robot decision-making on task execution timing and strategy using estimates of battery usage and human obstructions, evaluated via a new Gazebo simulator called PeopleFlow against a non-causal baseline in a warehouse setting.
Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda.European Journal of Operational Research, 294(2):405–426
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments
Presents a causal inference framework for autonomous robot decision-making on task execution timing and strategy using estimates of battery usage and human obstructions, evaluated via a new Gazebo simulator called PeopleFlow against a non-causal baseline in a warehouse setting.