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Bending path understanding based on angle projections in field environments

Wang Luping, Wei Hui

Journal of Artificial Intelligence and Soft Computing Research

2024

Vol. 14, No. 1

25--43

Scene understanding is a core problem for field robots. However, many unsolved problems, like understanding bending paths, severely hinder the implementation due to varying illumination, irregular features and unstructured boundaries in field environments. Traditional three-dimensional(3D) environmental perception from 3D point clouds or fused sensors are costly and account poorly for field unstructured semantic information. In this paper, we propose a new methodology to understand field bending paths and build their 3D reconstruction from a monocular camera without prior training. Bending angle projections are assigned to clusters. Through compositions of their sub-clusters, bending surfaces are estimated by geometric inferences. Bending path scenes are approximated bending structures in the 3D reconstruction. Understanding sloping gradient is helpful for a navigating mobile robot to automatically adjust their speed. Based on geometric constraints from a monocular camera, the approach requires no prior training, and is robust to varying color and illumination. The percentage of incorrectly classified pixels were compared to the ground truth. Experimental results demonstrated that the method can successfully understand bending path scenes, meeting the requirements of robot navigation in an unstructured environment.

Messor - Verstatile wal king robot for serach and rescue missions

Walas K., Belter D.

Journal of Automation Mobile Robotics and Intelligent Systems

2011

Vol. 5, No. 2

28-34

Nowadays there are more people living in the cities than in the countryside.With the growing number of multistorey buildings, which are built very fast, the number of possible collapses is rising. Rescue missions in ruins of such constructions pose a possible threat to the life of the rescuers. To avoid involving people in such missions mobile robots are used. The use of a six-legged robot in Urban Search and Rescue missions is proposed due to its static stability while walking on rough terrain. In this paper six-legged walking robot Messor is described. Its mechanical structure was designed in such a way, that negotiating obstacles met in urban space is possible. In order to perform such tasks as walking over rough terrain or climbing stairs the robot is equipped with significant number of on-board sensors. The control algorithms, which take advantage of mechanical structure were developed. At the beginning a mechanical structure of the robot is described. Next, the design of the robot control system architecture is considered. Then the robot sensory system is presented and afterward the application software is characterized.