Robotics survey details advances in coverage path planning

This paper provides a comprehensive survey of coverage path planning (CPP), a fundamental problem in robotics focused on generating robot trajectories for complete workspace coverage. It reviews 125 works published between 2015 and 2026, categorizing them into single-robot, multi-robot, 3D, constrained, learning-based, and visual CPP. The survey details planning formulations, algorithms, strengths, and limitations, while also discussing environmental knowledge, workspace geometry, and robot constraints. Future research directions include scalable online planning, multi-robot coordination, and learning-enhanced coverage. AI

RANK_REASON This is a survey paper published on arXiv detailing classical foundations and recent advances in a specific robotics field. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

• alphaXiv
• arXiv
• Autonomous Underwater Vehicles
• Bibliographic Explorer
• CatalyzeX Code Finder for Papers
• Connected Papers
• CORE Recommender
• DagsHub
• Gotit.pub
• Hugging Face
• Influence Flower
• Litmaps
• robotics
• ScienceCast
• scite Smart Citations

• paper
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →