Trajectory planning and optimal tracking for an industrial mobile robot

1994 ◽  
Author(s):  
Huosheng Hu ◽  
J. Michael Brady ◽  
Penelope J. Probert
Keyword(s):  
Mobile Robot ◽  
Trajectory Planning ◽  
Optimal Tracking

scholarly journals An Estimator for the Kinematic Behaviour of a Mobile Robot Subject to Large Lateral Slip

2021 ◽  
Vol 11 (4) ◽  
pp. 1594 ◽  
Author(s):  
Andrea Botta ◽  
Paride Cavallone ◽  
Luigi Tagliavini ◽  
Luca Carbonari ◽  
Carmen Visconte ◽  
...  
Keyword(s):  
Experimental Data ◽  
Mobile Robot ◽  
Trajectory Planning ◽  
Kinematic Model ◽  
Close Connection ◽  
Wheel Slip ◽  
Robot Architecture ◽  
Experimental Campaign ◽  
Base Concept ◽  
Kinematic Behaviour

In this paper, the effects of wheel slip compensation in trajectory planning for mobile tractor-trailer robot applications are investigated. Firstly, a kinematic model of the proposed robot architecture is marked out, then an experimental campaign is done to identify if it is possible to kinematically compensate trajectories that otherwise would be subject to large lateral slip. Due to the close connection to the experimental data, the results shown are valid only for Epi.q, the prototype that is the main object of this manuscript. Nonetheless, the base concept can be usefully applied to any mobile robot subject to large lateral slip.

scholarly journals Vision System of Mobile Robot Combining Binocular and Depth Cameras

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Yuxiang Yang ◽  
Xiang Meng ◽  
Mingyu Gao
Keyword(s):  
Mobile Robot ◽  
3D Reconstruction ◽  
Trajectory Planning ◽  
Stereo Matching ◽  
Vision System ◽  
Depth Camera ◽  
Structural Constraints ◽  
Depth Cameras ◽  
Stereo Cameras ◽  
Binocular Stereo

In order to optimize the three-dimensional (3D) reconstruction and obtain more precise actual distances of the object, a 3D reconstruction system combining binocular and depth cameras is proposed in this paper. The whole system consists of two identical color cameras, a TOF depth camera, an image processing host, a mobile robot control host, and a mobile robot. Because of structural constraints, the resolution of TOF depth camera is very low, which difficultly meets the requirement of trajectory planning. The resolution of binocular stereo cameras can be very high, but the effect of stereo matching is not ideal for low-texture scenes. Hence binocular stereo cameras also difficultly meet the requirements of high accuracy. In this paper, the proposed system integrates depth camera and stereo matching to improve the precision of the 3D reconstruction. Moreover, a double threads processing method is applied to improve the efficiency of the system. The experimental results show that the system can effectively improve the accuracy of 3D reconstruction, identify the distance from the camera accurately, and achieve the strategy of trajectory planning.

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