Binocular stereovision omnidirectional motion handling robot

Abstract

Binocular stereovision has become one of the development trends of machine vision and has been widely used in robot recognition and positioning. However, the current research on omnidirectional motion handling robots at home and abroad is too limited, and many problems cannot be solved well, such as single operating systems, complex algorithms, and low recognition rates. To make a high-efficiency handling robot with high recognition rate, this article studies the problem of robot image feature extraction and matching and proposes an improved speeded up robust features (SURF) algorithm that combines the advantages of both SURF and Binary Robust Independent Elementary Features. The algorithm greatly simplifies the complexity of the algorithm. Experiments show that the improved algorithm greatly improves the speed of matching and ensures the real-time and robustness of the algorithm. In this article, the problem of positioning the target workpiece of the robot is studied. The three-dimensional (3-D) reconstruction of the target workpiece position is performed to obtain the 3-D coordinates of the target workpiece position, thereby completing the positioning work. This article designs a software framework for real-time 3-D object reconstruction. A Bayesian-based matching algorithm combined with Delaunay triangulation is used to obtain the relationship between supported and nonsupported points, and 3-D reconstruction of target objects from sparse to dense matches is achieved.

Dynamic Path Planning Analysis of Warehouse Handling Robot

“…With the development of warehousing automation technology, handling robot technology is also developing rapidly and has become the focus of attention in the world today [1]. At present, the handling robot has completed the simple work such as palletizing, dispalletizing, and handling, in-depth to more complex logistics operations such as sorting and picking [2].…”

“…The paths in step(1) are decomposed and the utilization frequency of each road section within the time cycle is counted(3) When the carrying robot passes through the current path, b g automatically decreases by The influence coefficient function of construction path busyness on path selection by Dijkstra algorithm is shown in…”

High Precision Calibration Algorithm for Binocular Stereo Vision Camera using Deep Reinforcement Learning

“…At the moment, computer vision is a hot research field. It is widely used in various fields and is particularly useful in UAV visual positioning, robot navigation, and other areas [ 1 , 2 ]. Binocular stereo vision is based on the premise of mimicking human vision, and it employs two cameras to complete visual measurement using parallax calculations.…”

Target Recognition, Localization, and Motion Control of Soccer Robot

“…Therefore, the research on image recognition and tracking technology has also played a positive role in promoting the progress of other research directions. Figure 1 shows the improvement of target positioning technology and tracking algorithm for humanoid soccer robots [6].…”