Autonomous robots are required to avoid the obstacles during navigation. For this purpose unknown and unexpected obstacles have to be detected during motion. The proposed approach uses particle filters to process sensors data and estimate relative position of the robot with regard to the obstacles and to the goal. These relative position estimations are inputs to the velocity potential field approach for obtaining time varying velocity commands for the robot to avoid all obstacles and reach the goal.
Robot navigation using velocity potential fields and particle filters for obstacle avoidance
2015-07-01
1027471 byte
Conference paper
Electronic Resource
English
Autonomous obstacle avoidance underwater navigation subsea pipeline detection robot
European Patent Office | 2023
|Autonomous Navigation and Obstacle Avoidance
AIAA | 2009
|Flying robot obstacle avoidance device and obstacle avoidance method of flying robot
European Patent Office | 2020
|