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.
A comprehensive review of coverage path planning in robotics using classical and heuristic algorithms.IEEE Access, 9:119310–119342
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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.