Titlebook: Machine Vision and Navigation; Oleg Sergiyenko,Wendy Flores-Fuentes,Paolo Mercore Book 2020 Springer Nature Switzerland AG 2020 2D & 3D.Ma

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Color and Depth Sensing Sensor Technologies for Robotics and Machine Visiononomous systems. Color and depth sensing technologies play an important role in localization and navigation in unstructured environments. Most often, sensor technology must be able to deal with factors such as objects that have low textures or objects that are dynamic, soft, and deformable. Adding i

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Design and Simulation of Array Cells of Mixed Sensor Processors for Intensity Transformation and Ananel picture outputs is shown in the chapter. We consider perspective spheres and areas of application of such sensor processors, in particular, for hardware high-performance architectures of neural networks, convolutional neural structures, parallel matrix-matrix multipliers, and special processor s

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UKF-Based Image Filtering and 3D Reconstructionr of a robot’s achievement, robotics systems should be provided with minimal certain information in advance. This is crucial for any high-performance robotics systems. For instance, a medical assistive robot in a medical operation room has to be able to learn as precisely as possible about tissues.

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Optimal Generation of Closed Trajectories over Large, Arbitrary Surfaces Based on Non-calibrated Vis, using a robot whose control is based on the use of a non-calibrated vision system. This capability can be applied to relevant industrial robotic maneuvers, like the welding or cutting of commercially-available metal plates. The proposed technique is based on a calibration-free, vision-based robot

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Unified Passivity-Based Visual Control for Moving Object Trackingoller is suitable to be applied for robotic arms, mobile robots, as well as mobile manipulators. The proposed control law makes the robot able to perform a moving target tracking in its workspace. Taking advantage of the passivity properties of the control system and considering exact knowledge of t