Gross motion planning—a survey
ACM Computing Surveys (CSUR)
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Robot Motion Planning
Deliberative On-Line Local Path Planning for Autonomous Mobile Robots
Journal of Intelligent and Robotic Systems
An Adaptive Rolling Path Planning Method for Planet Rover in Uncertain Environment
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
A framework for building mobile single and multi-robot applications
Robotics and Autonomous Systems
WatchBot: A building maintenance and surveillance system based on autonomous robots
Robotics and Autonomous Systems
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A new technique for enhancing global path planning for mobile robots working in partially known as indoor environments is presented in this paper. The method is based on a graph approach that adapts the cost of the paths by incorporating travelling time from real experiences. The approach uses periodical measurements of time and position reached by the robot while moving to the goal to modify the costs of the branches. Consequently, the search of a feasible path from a static global map in dynamic environments is more realistic than employing a distance metric. Our approach has been tested in simulation as well on an autonomous robot. Results from both simulation and real experiences are discussed.