Learning Perception and Motion Planning in Robotic Manipulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning Perception and Motion Planning in Robotic Manipulation write by Weihao Yuan. This book was released on 2020. Learning Perception and Motion Planning in Robotic Manipulation available in PDF, EPUB and Kindle.
Perception-based Learning for Fine Motion Planning in Robot Manipulation
Perception-based Learning for Fine Motion Planning in Robot Manipulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Perception-based Learning for Fine Motion Planning in Robot Manipulation write by Enrique Cervera Mateu. This book was released on 1997. Perception-based Learning for Fine Motion Planning in Robot Manipulation available in PDF, EPUB and Kindle.
Perception-Based Learning for Fine Motion Planning in Robot Manipulation
Perception-Based Learning for Fine Motion Planning in Robot Manipulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Perception-Based Learning for Fine Motion Planning in Robot Manipulation write by . This book was released on 1910. Perception-Based Learning for Fine Motion Planning in Robot Manipulation available in PDF, EPUB and Kindle. Robots must successfully execute tasks in the presence of uncertainty. The main sources of uncertainty are modeling, sensing, and control. Fine motion problems involve a small-scale space and contact between objects. Though modern manipulators are very precise and repetitive, complex tasks may be difficult --or even impossible-- to model at the desired degree of exactitude; moreover, in real-world situations, the environment is not known a-priori and visual sensing does not provide enough accuracy. In order to develop successful strategies, it is necessary to understand what can be perceived, what action can be learnt --associated-- according to the perception, and how can the robot optimize its actions with regard to defined criteria. The thesis describes a robot programming architecture for learning fine motion tasks. Learning is an autonomous process of experience repetition, and the target is to achieve the goal in the minimum number of steps. Uncertainty in the location is assumed, and the robot is guided mainly by the sensory information acquired by a force sensor. The sensor space is analyzed by an unsupervised process which extracts features related with the probability distribution of the input samples. Such features are used to build a discrete state of the task to which an optimal action is associated, according to the past experience. The thesis also includes simulations of different sensory-based tasks to illustrate some aspects of the learning processes. The learning architecture is implemented on a real robot arm with force sensing capabilities. The task is a peg-in-hole insertion with both cylindrical and non-cylindrical workpieces.
Deep Learning for Robot Perception and Cognition
Deep Learning for Robot Perception and Cognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Learning for Robot Perception and Cognition write by Alexandros Iosifidis. This book was released on 2022-02-04. Deep Learning for Robot Perception and Cognition available in PDF, EPUB and Kindle. Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. Presents deep learning principles and methodologies Explains the principles of applying end-to-end learning in robotics applications Presents how to design and train deep learning models Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more Uses robotic simulation environments for training deep learning models Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis
Visual Perception and Robotic Manipulation
Visual Perception and Robotic Manipulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Visual Perception and Robotic Manipulation write by Geoffrey Taylor. This book was released on 2008-08-18. Visual Perception and Robotic Manipulation available in PDF, EPUB and Kindle. This book moves toward the realization of domestic robots by presenting an integrated view of computer vision and robotics, covering fundamental topics including optimal sensor design, visual servo-ing, 3D object modelling and recognition, and multi-cue tracking, emphasizing robustness throughout. Covering theory and implementation, experimental results and comprehensive multimedia support including video clips, VRML data, C++ code and lecture slides, this book is a practical reference for roboticists and a valuable teaching resource.
