Advances in Robotics, Automation and Control - download pdf or read online

By Jesus Aramburo and Antonio Ramirez Trevino

ISBN-10: 9537619028

ISBN-13: 9789537619022

The e-book provides an exceptional review of the new advancements within the diversified components of Robotics, Automation and keep an eye on. via its 24 chapters, this ebook provides issues with regards to keep watch over and robotic layout; it additionally introduces new mathematical instruments and methods dedicated to enhance the procedure modeling and regulate. a massive aspect is using rational brokers and heuristic thoughts to deal with the computational complexity required for controlling complicated platforms. via this e-book, we additionally locate navigation and imaginative and prescient algorithms, automated handwritten comprehension and speech reputation platforms that might be incorporated within the subsequent iteration of efficient platforms built via guy.

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Extra resources for Advances in Robotics, Automation and Control

Example text

When evaluating the overall success of a service robot, three important factors need to be considered: 1. A successful service robot must have complete autonomous capabilities. 2. It must initiate meaningful social interaction with the user and 3. It must be successful in its task. To address these issues, factors 1 and 3 are grouped together and described with respect to the localization algorithm implemented for the application. The goal of the proposed localization system is to implement a low cost accurate navigation system to be applied to a real world environment.

In the face recognition module, it recognizes who the person is using CA-PCA. Fig. 26 shows the block diagram of face feature engine. The system captures the image from the camera and sends it to the face detection module to detect the nearest face image among the detected face images. And the face image is sent to the face tracking module and the face recognition module. Fig. 26. The block diagram of face feature engine. The face detection module uses facial feature invariant approach. This algorithm aims to find structural features that exist even when the pose, viewpoint, or lighting conditions vary, and then use these to locate faces.

Studies carried out as part of the RoboCare project (Scopelliti et al. 2004; Cesta et al. 2005) with the aim of assessing people’s attitudes and preferences towards a domestic robot, revealed that elderly people seem to recognise its potential usefulness in the house, but are somewhat afraid of potential damages caused by the robot and of intrusion in their privacy. In addition, older people showed a preference for the robot not to be free to move inside the house and would expect the robot to be programmed in a fixed way.

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Advances in Robotics, Automation and Control by Jesus Aramburo and Antonio Ramirez Trevino


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