A new coverage path planning framework for robotic lawnmowers that rotates and decomposes the lawn into cells, merges adjacent sections via a fixed rule, and outputs GPS waypoints, achieving 97.2% coverage in simulation.
Coverage path planning for decomposition reconfig- urable grid-maps using deep reinforcement learning based travelling salesman problem,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
End-to-End Framework for Robot Lawnmower Coverage Path Planning using Cellular Decomposition
A new coverage path planning framework for robotic lawnmowers that rotates and decomposes the lawn into cells, merges adjacent sections via a fixed rule, and outputs GPS waypoints, achieving 97.2% coverage in simulation.