Towards fully autonomous energy efficient Coverage Path Planning for autonomous mobile robots on 3D terrain

No abstract is available for this paper.

• Publication year

  2015

• Venue

  European Conference on Mobile Robots

• Publication date

  2015-09-01

• Fields of study

  Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1109/ECMR.2015.7324206
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Intelligent Coverage Path Planning for Agricultural Robots and Autonomous Machines on Three-Dimensional Terrain

  2013cited by this paper
• Energy Efficient Area Coverage for an Autonomous Demining Robot

  2013cited by this paper
• A survey on coverage path planning for robotics

  2013cited by this paper
• Coverage path planning on three‐dimensional terrain for arable farming

  2011cited by this paper
• I, domestic robot

  2011cited by this paper
• A search and coverage algorithm for mobile robot

  2011cited by this paper
• GENETIC ALGORITHM FOR THE TRAVELING SALESMAN PROBLEM USING SEQUENTIAL CONSTRUCTIVE CROSSOVER

  2010cited by this paper
• Complete coverage algorithm based on linked smooth spiral paths for mobile robots

  2010cited by this paper
• Power Consumption Modeling of Skid-Steer Tracked Mobile Robots on Rigid Terrain

  2009cited by this paper
• Path-following algorithms and experiments for an unmanned surface vehicle

  2009cited by this paper
• Pattern-Based Genetic Algorithm Approach to Coverage Path Planning for Mobile Robots

  2009cited by this paper
• Optimal area covering using genetic algorithms

  2007cited by this paper
• Olfactory coordinated area coverage

  2006cited by this paper
• Morse Decompositions for Coverage Tasks

  2002cited by this paper
• Spanning-tree based coverage of continuous areas by a mobile robot

  2001cited by this paper
• Coverage for robotics – A survey of recent results

  2001cited by this paper
• Approximation algorithms for lawn mowing and milling

  2000cited by this paper
• Coverage of Known Spaces: The Boustrophedon Cellular Decomposition

  2000cited by this paper
• An Introduction to Applied Geostatistics: by Edward H. Isaaks and R. Mohan Srivastava, 1989, Oxford University Press, New York, 561 p., ISBN 0-19-505012-6, ISBN 0-19-505013-4 (paperback), $55.00 cloth, $35.00 paper (US)

  1991cited by this paper

• Solar-powered agricultural robots: a systematic review of technological synergies, sustainability impacts, and future pathways for autonomous farming

  2026cites this paper
• Energy-Efficient Path Planning in Uneven Terrains Using Adaptive Reinforcement Learning

  2025cites this paper
• Global coverage path planner in 2.5 dimensions for nonholonomic vehicles

  2025cites this paper
• Improved coverage path planning for indoor robots based on BIM and robotic configurations

  2024cites this paper
• Valley Path Planning on 3D Terrains Using NSGA-II Algorithm

  2024cites this paper
• Three-dimensional area coverage planning model for robotic application

  2024cites this paper
• A review on energy efficiency in autonomous mobile robots

  2023cites this paper
• Complete coverage path planning for wheeled agricultural robots

  2023cites this paper
• Energy Consumption Minimization for Autonomous Mobile Robot: A Convex Approximation Approach

  2023cites this paper
• Coverage Path Planning in Large-scale Multi-floor Urban Environments with Applications to Autonomous Road Sweeping

  2022cites this paper
• Power solutions for autonomous mobile robots: A survey

  2022cites this paper
• Graph Theory-Based Approach to Accomplish Complete Coverage Path Planning Tasks for Reconfigurable Robots

  2019cites this paper
• Coverage trajectory planning for a bush trimming robot arm

  2019cites this paper
• Neuro-Activity-Based Dynamic Path Planner for 3-D Rough Terrain

  2018cites this paper
• State-of-the-art, progress beyond, and system design for mechatronics, motion planning and vision-based replanning

  2017cites this paper
• Reducing false-positives in multi-sensor dataset of landmines via sensor fusion regularization

  2017cites this paper