Motion planning in urban environments
Journal of Field Robotics
Autonomous robot navigation in outdoor cluttered pedestrian walkways
Journal of Field Robotics
Reactive path planning in a dynamic environment
IEEE Transactions on Robotics
Hybrid robot control and SLAM for persistent navigation and mapping
Robotics and Autonomous Systems
Hi-index | 0.00 |
Recently, many research projects and competitions have attempted to find an autonomous mobile robot that can drive in the real world. In this article, we consider a path-planning method for an autonomous mobile robot that would be safe in a real environment. In such a case, it is very important for the robot to be able to identify its own position and orientation in real time. Therefore, we applied a localization method based on a particle filter. Moreover, in order to improve the safety of such autonomous locomotion, we improved the path-planning algorithm and the generation of the trajectory so that it can consider a region with a limited maximum velocity. In order to demonstrate the validity of the proposed method, we participated in the Real World Robot Challenge 2010. The experimental results are given.